Research graph
References from A novel conformable fractional seasonal Grey Bernoulli Model with new information priority: case studies in urban water demand forecasting. Local targets link to admitted publications; unresolved targets remain external evidence.
Urban residential water demand prediction based on artificial neural networks and time series models
10.1007/s11269-015-1021-z · 2015 · External reference
A review on the recent application of Jaya optimization algorithm
2018 · External reference
Short-term water demand forecasting using machine learning techniques
10.2166/hydro.2018.163 · 2018 · External reference
Unresolved reference
External reference
Prediction of water demand using artificial neural networks models and statistical model
10.5815/ijisa.2019.09.05 · 2019 · External reference
An ensemble data-driven approach for enhanced short-term water demand forecasting in urban areas
2024 · External reference
A short-term data based water consumption prediction approach
10.3390/en12122359 · 2019 · External reference
Comparision of Conformable and Caputo fractional grey models
10.1016/j.cam.2025.116500 · 2025 · External reference
Forecasting of water consumption by integrating spatial and temporal characteristics of short-term water use in cities
10.1016/j.pce.2023.103390 · 2023 · External reference
A nonlinear grey model with seasonal weighted fractional accumulation for triangular fuzzy number series and its application to forecast PM2. 5
10.1108/gs-12-2024-0144 · 2025 · External reference
Application of the novel nonlinear grey Bernoulli model for forecasting unemployment rate
10.1016/j.chaos.2006.08.024 · 2008 · External reference
Fractional Hausdorff grey model and its properties
10.1016/j.chaos.2020.109915 · 2020 · External reference
A novel grey seasonal model for natural gas production forecasting
10.3390/fractalfract7060422 · 2023 · External reference
A comprehensive review on Jaya optimization algorithm
10.1007/s10462-022-10234-0 · 2023 · External reference
Introduction to Grey system theory
1989 · External reference
Fuel cell parameters estimation via marine predators and political optimizers
10.1109/access.2020.3021754 · 2020 · External reference
Urban water demand forecasting: review of methods and models
10.1061/(asce)wr.1943-5452.0000314 · 2014 · External reference
Deep learning with long short-term memory neural networks combining wavelet transform and principal component analysis for daily urban water demand forecasting
10.1016/j.eswa.2021.114571 · 2021 · External reference
ESG Modeling and Prediction uncertainty of electronic waste
10.3390/su151411281 · 2023 · External reference
A novel Hausdorff fractional grey Bernoulli model and its Application in forecasting electronic waste
10.1016/j.wmb.2025.02.002 · 2025 · External reference
Estimation of electronic waste using optimized multivariate grey models
10.1016/j.wasman.2019.06.023 · 2019 · External reference
Predictive analysis of electronic waste for reverse logistics operations: a comparison of improved univariate grey models
10.1007/s00500-020-04904-w · 2020 · External reference
Forecasting foreign direct investment using optimized Hausdorff fractional multivariate grey Bernoulli model
10.1108/jfep-10-2024-0307 · 2025 · External reference
Forecasting real GDP using a multivariable fractional grey model: an empirical application to Eastern European countries
10.1080/00128775.2026.2645107 · 2026 · External reference
The information priority of conformable fractional grey model
10.1016/j.cam.2022.114460 · 2022 · External reference
Performance validation of jaya algorithm to the most well-known testbench problem
2020 · External reference
Forecasting China's wind energy generation using a novel all-information seasonal grey model
10.1016/j.renene.2025.124648 · 2025 · External reference
Water demand forecasting: review of soft computing methods
10.1007/s10661-017-6030-3 · 2017 · External reference
A prediction method for plasma concentration by using a nonlinear grey Bernoulli combined model based on a self-memory algorithm
10.1016/j.compbiomed.2018.12.004 · 2019 · External reference
A novel nonlinear grey Bernoulli model based on recursive regression and pension insurance fund forecast analysis
10.1108/gs-05-2025-0060 · 2026 · External reference
Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand
10.1088/2634-4505/ad5e1d · 2024 · External reference
A novel seasonal weighted fractional nonlinear grey Bernoulli model and its application in forecasting China's natural gas production
2026 · External reference
Urban water demand modeling: review of concepts, methods, and organizing principles
10.1029/2010wr009624 · 2011 · External reference
Unresolved reference
2020 · External reference
Prediction of seasonal variation pollutant sequence based on binomial coupled nonlinear grey Bernoulli model
10.1108/gs-08-2023-0078 · 2025 · External reference
A seasonal grey model with three parameter-interval grey numbers for forecasting natural gas production
10.1108/gs-04-2025-0049 · 2026 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Stochastic optimal strategy for power management in interconnected multi-microgrid systems
10.3390/electronics11091424 · 2022 · External reference
The grey multivariate forecasting model based on seasonal fluctuation series and its application
10.1108/gs-12-2024-0142 · 2025 · External reference
A new definition of fractional derivative
10.1016/j.cam.2014.01.002 · 2014 · External reference
Industrial and business forecasting methods: a practical guide to exponential smoothing and curve fitting
1982 · External reference
Deep learning model-based demand forecasting for secondary water supply in residential communities: a case study of Shanghai City, China
10.1109/access.2023.3288817 · 2023 · External reference
The improved grey model based on particle swarm optimization algorithm for time series prediction
10.1016/j.engappai.2016.07.005 · 2016 · External reference
A novel grey model with A three-parameter background value and its application in forecasting average annual water consumption per capita in urban areas along the Yangtze River basin
2020 · External reference
A novel seasonal lag grey model for forecasting quarterly electricity consumption in China
10.1108/gs-10-2024-0120 · 2025 · External reference
A novel seasonal grey multivariate model and its application in China's new energy vehicle quarterly sales
10.1108/gs-04-2025-0035 · 2026 · External reference
A rolling grey model optimized by particle swarm optimization in economic prediction
10.1111/coin.12059 · 2016 · External reference
Forecasting short-term water demands with an ensemble deep learning model for a water supply system
10.1007/s11269-023-03471-7 · 2023 · External reference
A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China
10.1016/j.energy.2019.04.096 · 2019 · External reference
The conformable fractional grey system model
10.1016/j.isatra.2019.07.009 · 2020 · External reference
A decomposition-based hybrid framework of grey system model and Gaussian process regression for renewable energy consumption forecasting
10.1108/gs-06-2025-0073 · 2026 · External reference
Assessment of COVID-19's impact on China's domestic tourism revenue based on a new grey model with the Hausdorff operator
10.1108/gs-09-2024-0105 · 2026 · External reference
An efficient multi-core implementation of the Jaya optimisation algorithm
10.1080/17445760.2017.1416387 · 2019 · External reference
A discrete Jaya algorithm for permutation flow-shop scheduling problem
10.5267/j.ijiec.2019.12.001 · 2020 · External reference
The limitation of machine learning methods for water supply and demand forecasting: a case study for Greater Melbourne, Australia
10.2166/ws.2024.225 · 2024 · External reference
Deep learning–based short-term water demand forecasting in urban areas: a hybrid multichannel model
10.2166/aqua.2024.200 · 2024 · External reference
A critical review of short-term water demand forecasting tools—what method should i use?
10.3390/su14095412 · 2022 · External reference
Grey model prediction enhancement via Bernoulli equation with dynamic polynomial terms
10.3390/sym17050713 · 2025 · External reference
Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model
10.1016/j.energy.2012.01.037 · 2012 · External reference
Enhancing water management: a comparative analysis of time series prediction models for distributed water flow in supply networks
10.3390/w16131827 · 2024 · External reference
Seasonal residential water demand forecasting for census tracts
10.1061/(asce)wr.1943-5452.0000003 · 2010 · External reference
Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems
10.5267/j.ijiec.2015.8.004 · 2016 · External reference
Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey model
10.1016/j.eswa.2022.118429 · 2022 · External reference
Assessing the current and future effects of Covid-19 on energy related-CO2 emissions in the United States using seasonal fractional grey model
10.1016/j.esr.2023.101234 · 2023 · External reference
A discrete seasonal grey model with disturbance adjustments and dummy parameters for cyclical effects in electricity demand forecasting
10.1016/j.eswa.2025.129585 · 2026 · External reference
Intelligent soft computing models in water demand forecasting
2016 · External reference
An improved conformable fractional grey multivariate model and its application
2025 · External reference
Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
10.1002/wrcr.20517 · 2013 · External reference
An optimized Nash nonlinear grey Bernoulli model for forecasting the main economic indices of high technology enterprises in China
10.1016/j.cie.2012.12.010 · 2013 · External reference
An improved grey multivariable model for predicting industrial energy consumption in China
10.1016/j.apm.2016.01.012 · 2016 · External reference
Using genetic algorithms grey theory to forecast high technology industrial output
10.1016/j.amc.2007.04.080 · 2008 · External reference
A novel seasonal grey prediction model with fractional order accumulation for energy forecasting
10.1016/j.heliyon.2024.e29960 · 2024 · External reference
Combination gray forecast model based on the Ant Colony algorithm
2009 · External reference
An optimized NGBM(1,1) model for forecasting the qualified discharge rate of industrial wastewater in China
10.1016/j.apm.2011.05.022 · 2011 · External reference
A novel Hausdorff fractional NGMC (p,n) grey prediction model with Grey Wolf Optimizer and its applications in forecasting energy production and conversion of China
10.1016/j.apm.2021.03.047 · 2021 · External reference
Prediction and analysis of domestic water consumption based on optimized grey and Markov model
10.2166/ws.2021.146 · 2021 · External reference
A new seasonal cycle GM (1, 1) model and its application in railway passenger volume forecasting
10.1108/gs-11-2020-0146 · 2022 · External reference
Forecasting China's energy production and consumption based on a novel structural adaptive Caputo fractional grey prediction model
10.1016/j.energy.2022.124935 · 2022 · External reference
A new adaptive grey seasonal model for time series forecasting tasks
10.1108/gs-07-2023-0055 · 2024 · External reference
A novel fractional nonlinear discrete grey model with kernel-markov adaptation for clean energy forecasting
10.1016/j.energy.2025.135888 · 2025 · External reference
A novel structure adaptive new information priority grey Bernoulli model and its application in China's renewable energy production
10.1016/j.renene.2024.122052 · 2025 · External reference
A novel fractional order partial grey prediction model with conformable fractional derivative and its application to energy prediction
10.1016/j.engappai.2025.113582 · 2026 · External reference
A new generalized conformable fractional grey forecasting model and its applications
10.1108/gs-01-2026-0005 · 2026 · External reference
Optimal power flow using the Jaya algorithm
10.3390/en9090678 · 2016 · External reference
A novel seasonal grey prediction model with weighted fractional order accumulation operator and its application in natural gas production forecasting
10.1007/978-981-96-3268-8 · 2025 · External reference
Grey system model with the fractional order accumulation
10.1016/j.cnsns.2012.11.017 · 2013 · External reference
Using fractional order accumulation to reduce errors from inverse accumulated generating operator of grey model
10.1007/s00500-014-1268-y · 2015 · External reference
Forecasting the water demand in Chongqing, China using a grey prediction model and recommendations for the sustainable development of urban water consumption
10.3390/ijerph14111386 · 2017 · External reference
A seasonal discrete grey forecasting model for fashion retailing
10.1016/j.knosys.2013.12.014 · 2014 · External reference
Forecast of clean energy generation in China based on new information priority nonlinear grey Bernoulli model
10.1007/s11356-023-30035-4 · 2023 · External reference
Research on gray prediction modeling optimized by genetic algorithm for energy consumption demand
2009 · External reference
Unresolved reference
2009 · External reference
Forecasting fuel combustion-related CO 2 emissions by a novel continuous fractional nonlinear grey Bernoulli model with grey wolf optimizer
10.1007/s11356-021-12736-w · 2021 · External reference
A novel dual-scale deep belief network method for daily urban water demand forecasting
10.3390/en11051068 · 2018 · External reference
Forecasting short-term energy consumption in Chongqing using a novel grey Bernoulli model
10.1108/gs-02-2024-0016 · 2025 · External reference
A framework for sustainable urban water management through demand and supply forecasting: the case of Istanbul
10.3390/su70811050 · 2015 · External reference
An IDE-based nonlinear grey Bernoulli model and applications to daily traffic flow pattern identification
10.1016/j.eswa.2024.123172 · 2024 · External reference
A novel fractional order grey Euler model and its application in clean energy prediction
10.1016/j.energy.2025.135609 · 2025 · External reference
Fractional multivariate grey Bernoulli model combined with improved grey wolf algorithm: application in short-term power load forecasting
10.1016/j.energy.2023.126844 · 2023 · External reference
Application of fractional order-based grey power model in water consumption prediction
10.1007/s12665-019-8257-5 · 2019 · External reference
Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application
10.1016/j.cie.2018.02.042 · 2018 · External reference
Using fractional order grey seasonal model to predict the power generation in China
10.1007/s40710-020-00477-w · 2021 · External reference
An optimized Nash nonlinear grey Bernoulli model based on particle swarm optimization and its application in prediction for the incidence of Hepatitis B in Xinjiang, China
10.1016/j.compbiomed.2014.02.008 · 2014 · External reference
An optimized grey model for annual power load forecasting
10.1016/j.energy.2016.04.009 · 2016 · External reference
Using GM (1, 1) optimized by MFO with rolling mechanism to forecast the electricity consumption of inner Mongolia
10.3390/app6010020 · 2016 · External reference
Application of a novel hybrid accumulation grey model to forecast total energy consumption of Southwest Provinces in China
10.1108/gs-02-2023-0013 · 2023 · External reference
Urban water supply forecasting based on CNN-LSTM-AM spatiotemporal deep learning model
10.1109/access.2023.3345029 · 2023 · External reference
Urban daily water supply forecasting based on the LSTM-AM model
2023 · External reference
A novel discrete grey seasonal model and its applications
10.1016/j.cnsns.2020.105493 · 2021 · External reference
Parameter optimization of nonlinear grey Bernoulli model using particle swarm optimization
10.1016/j.amc.2008.10.045 · 2009 · External reference
A novel discrete conformable fractional grey system model for forecasting carbon dioxide emissions
10.1007/s10668-024-04479-8 · 2025 · External reference
An intensive and comprehensive overview of JAYA algorithm, its versions and applications
10.1007/s11831-021-09585-8 · 2022 · External reference
Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
10.1002/wrcr.20517 · ExternalCitation · doi-reference
A novel seasonal grey prediction model with weighted fractional order accumulation operator and its application in natural gas production forecasting
10.1007/978-981-96-3268-8 · ExternalCitation · doi-reference
Using fractional order accumulation to reduce errors from inverse accumulated generating operator of grey model
10.1007/s00500-014-1268-y · ExternalCitation · doi-reference
Predictive analysis of electronic waste for reverse logistics operations: a comparison of improved univariate grey models
10.1007/s00500-020-04904-w · ExternalCitation · doi-reference
A comprehensive review on Jaya optimization algorithm
10.1007/s10462-022-10234-0 · ExternalCitation · doi-reference
Water demand forecasting: review of soft computing methods
10.1007/s10661-017-6030-3 · ExternalCitation · doi-reference
A novel discrete conformable fractional grey system model for forecasting carbon dioxide emissions
10.1007/s10668-024-04479-8 · ExternalCitation · doi-reference
Urban residential water demand prediction based on artificial neural networks and time series models
10.1007/s11269-015-1021-z · ExternalCitation · doi-reference
Forecasting short-term water demands with an ensemble deep learning model for a water supply system
10.1007/s11269-023-03471-7 · ExternalCitation · doi-reference
Forecasting fuel combustion-related CO 2 emissions by a novel continuous fractional nonlinear grey Bernoulli model with grey wolf optimizer
10.1007/s11356-021-12736-w · ExternalCitation · doi-reference
Forecast of clean energy generation in China based on new information priority nonlinear grey Bernoulli model
10.1007/s11356-023-30035-4 · ExternalCitation · doi-reference
An intensive and comprehensive overview of JAYA algorithm, its versions and applications
10.1007/s11831-021-09585-8 · ExternalCitation · doi-reference
Application of fractional order-based grey power model in water consumption prediction
10.1007/s12665-019-8257-5 · ExternalCitation · doi-reference
Using fractional order grey seasonal model to predict the power generation in China
10.1007/s40710-020-00477-w · ExternalCitation · doi-reference
Using genetic algorithms grey theory to forecast high technology industrial output
10.1016/j.amc.2007.04.080 · ExternalCitation · doi-reference
Parameter optimization of nonlinear grey Bernoulli model using particle swarm optimization
10.1016/j.amc.2008.10.045 · ExternalCitation · doi-reference
An optimized NGBM(1,1) model for forecasting the qualified discharge rate of industrial wastewater in China
10.1016/j.apm.2011.05.022 · ExternalCitation · doi-reference
An improved grey multivariable model for predicting industrial energy consumption in China
10.1016/j.apm.2016.01.012 · ExternalCitation · doi-reference
A novel Hausdorff fractional NGMC (p,n) grey prediction model with Grey Wolf Optimizer and its applications in forecasting energy production and conversion of China
10.1016/j.apm.2021.03.047 · ExternalCitation · doi-reference
A new definition of fractional derivative
10.1016/j.cam.2014.01.002 · ExternalCitation · doi-reference
The information priority of conformable fractional grey model
10.1016/j.cam.2022.114460 · ExternalCitation · doi-reference
Comparision of Conformable and Caputo fractional grey models
10.1016/j.cam.2025.116500 · ExternalCitation · doi-reference
Application of the novel nonlinear grey Bernoulli model for forecasting unemployment rate
10.1016/j.chaos.2006.08.024 · ExternalCitation · doi-reference
Fractional Hausdorff grey model and its properties
10.1016/j.chaos.2020.109915 · ExternalCitation · doi-reference
An optimized Nash nonlinear grey Bernoulli model for forecasting the main economic indices of high technology enterprises in China
10.1016/j.cie.2012.12.010 · ExternalCitation · doi-reference
Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application
10.1016/j.cie.2018.02.042 · ExternalCitation · doi-reference
Grey system model with the fractional order accumulation
10.1016/j.cnsns.2012.11.017 · ExternalCitation · doi-reference
A novel discrete grey seasonal model and its applications
10.1016/j.cnsns.2020.105493 · ExternalCitation · doi-reference
An optimized Nash nonlinear grey Bernoulli model based on particle swarm optimization and its application in prediction for the incidence of Hepatitis B in Xinjiang, China
10.1016/j.compbiomed.2014.02.008 · ExternalCitation · doi-reference
A prediction method for plasma concentration by using a nonlinear grey Bernoulli combined model based on a self-memory algorithm
10.1016/j.compbiomed.2018.12.004 · ExternalCitation · doi-reference
Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model
10.1016/j.energy.2012.01.037 · ExternalCitation · doi-reference
An optimized grey model for annual power load forecasting
10.1016/j.energy.2016.04.009 · ExternalCitation · doi-reference
A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China
10.1016/j.energy.2019.04.096 · ExternalCitation · doi-reference
Forecasting China's energy production and consumption based on a novel structural adaptive Caputo fractional grey prediction model
10.1016/j.energy.2022.124935 · ExternalCitation · doi-reference
Fractional multivariate grey Bernoulli model combined with improved grey wolf algorithm: application in short-term power load forecasting
10.1016/j.energy.2023.126844 · ExternalCitation · doi-reference
A novel fractional order grey Euler model and its application in clean energy prediction
10.1016/j.energy.2025.135609 · ExternalCitation · doi-reference
A novel fractional nonlinear discrete grey model with kernel-markov adaptation for clean energy forecasting
10.1016/j.energy.2025.135888 · ExternalCitation · doi-reference
The improved grey model based on particle swarm optimization algorithm for time series prediction
10.1016/j.engappai.2016.07.005 · ExternalCitation · doi-reference
A novel fractional order partial grey prediction model with conformable fractional derivative and its application to energy prediction
10.1016/j.engappai.2025.113582 · ExternalCitation · doi-reference
Assessing the current and future effects of Covid-19 on energy related-CO2 emissions in the United States using seasonal fractional grey model
10.1016/j.esr.2023.101234 · ExternalCitation · doi-reference
Deep learning with long short-term memory neural networks combining wavelet transform and principal component analysis for daily urban water demand forecasting
10.1016/j.eswa.2021.114571 · ExternalCitation · doi-reference
Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey model
10.1016/j.eswa.2022.118429 · ExternalCitation · doi-reference
An IDE-based nonlinear grey Bernoulli model and applications to daily traffic flow pattern identification
10.1016/j.eswa.2024.123172 · ExternalCitation · doi-reference
A discrete seasonal grey model with disturbance adjustments and dummy parameters for cyclical effects in electricity demand forecasting
10.1016/j.eswa.2025.129585 · ExternalCitation · doi-reference
A novel seasonal grey prediction model with fractional order accumulation for energy forecasting
10.1016/j.heliyon.2024.e29960 · ExternalCitation · doi-reference
The conformable fractional grey system model
10.1016/j.isatra.2019.07.009 · ExternalCitation · doi-reference
A seasonal discrete grey forecasting model for fashion retailing
10.1016/j.knosys.2013.12.014 · ExternalCitation · doi-reference
Forecasting of water consumption by integrating spatial and temporal characteristics of short-term water use in cities
10.1016/j.pce.2023.103390 · ExternalCitation · doi-reference
A novel structure adaptive new information priority grey Bernoulli model and its application in China's renewable energy production
10.1016/j.renene.2024.122052 · ExternalCitation · doi-reference
Forecasting China's wind energy generation using a novel all-information seasonal grey model
10.1016/j.renene.2025.124648 · ExternalCitation · doi-reference
Estimation of electronic waste using optimized multivariate grey models
10.1016/j.wasman.2019.06.023 · ExternalCitation · doi-reference
A novel Hausdorff fractional grey Bernoulli model and its Application in forecasting electronic waste
10.1016/j.wmb.2025.02.002 · ExternalCitation · doi-reference
Urban water demand modeling: review of concepts, methods, and organizing principles
10.1029/2010wr009624 · ExternalCitation · doi-reference
Seasonal residential water demand forecasting for census tracts
10.1061/(asce)wr.1943-5452.0000003 · ExternalCitation · doi-reference
Urban water demand forecasting: review of methods and models
10.1061/(asce)wr.1943-5452.0000314 · ExternalCitation · doi-reference
Forecasting real GDP using a multivariable fractional grey model: an empirical application to Eastern European countries
10.1080/00128775.2026.2645107 · ExternalCitation · doi-reference
An efficient multi-core implementation of the Jaya optimisation algorithm
10.1080/17445760.2017.1416387 · ExternalCitation · doi-reference
Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand
10.1088/2634-4505/ad5e1d · ExternalCitation · doi-reference
A new generalized conformable fractional grey forecasting model and its applications
10.1108/gs-01-2026-0005 · ExternalCitation · doi-reference
Application of a novel hybrid accumulation grey model to forecast total energy consumption of Southwest Provinces in China
10.1108/gs-02-2023-0013 · ExternalCitation · doi-reference
Forecasting short-term energy consumption in Chongqing using a novel grey Bernoulli model
10.1108/gs-02-2024-0016 · ExternalCitation · doi-reference
A novel seasonal grey multivariate model and its application in China's new energy vehicle quarterly sales
10.1108/gs-04-2025-0035 · ExternalCitation · doi-reference
A seasonal grey model with three parameter-interval grey numbers for forecasting natural gas production
10.1108/gs-04-2025-0049 · ExternalCitation · doi-reference
A novel nonlinear grey Bernoulli model based on recursive regression and pension insurance fund forecast analysis
10.1108/gs-05-2025-0060 · ExternalCitation · doi-reference
A decomposition-based hybrid framework of grey system model and Gaussian process regression for renewable energy consumption forecasting
10.1108/gs-06-2025-0073 · ExternalCitation · doi-reference
A new adaptive grey seasonal model for time series forecasting tasks
10.1108/gs-07-2023-0055 · ExternalCitation · doi-reference
Prediction of seasonal variation pollutant sequence based on binomial coupled nonlinear grey Bernoulli model
10.1108/gs-08-2023-0078 · ExternalCitation · doi-reference
Assessment of COVID-19's impact on China's domestic tourism revenue based on a new grey model with the Hausdorff operator
10.1108/gs-09-2024-0105 · ExternalCitation · doi-reference
A novel seasonal lag grey model for forecasting quarterly electricity consumption in China
10.1108/gs-10-2024-0120 · ExternalCitation · doi-reference
A new seasonal cycle GM (1, 1) model and its application in railway passenger volume forecasting
10.1108/gs-11-2020-0146 · ExternalCitation · doi-reference
The grey multivariate forecasting model based on seasonal fluctuation series and its application
10.1108/gs-12-2024-0142 · ExternalCitation · doi-reference
A nonlinear grey model with seasonal weighted fractional accumulation for triangular fuzzy number series and its application to forecast PM2. 5
10.1108/gs-12-2024-0144 · ExternalCitation · doi-reference
Forecasting foreign direct investment using optimized Hausdorff fractional multivariate grey Bernoulli model
10.1108/jfep-10-2024-0307 · ExternalCitation · doi-reference
Fuel cell parameters estimation via marine predators and political optimizers
10.1109/access.2020.3021754 · ExternalCitation · doi-reference
Deep learning model-based demand forecasting for secondary water supply in residential communities: a case study of Shanghai City, China
10.1109/access.2023.3288817 · ExternalCitation · doi-reference
Urban water supply forecasting based on CNN-LSTM-AM spatiotemporal deep learning model
10.1109/access.2023.3345029 · ExternalCitation · doi-reference
A rolling grey model optimized by particle swarm optimization in economic prediction
10.1111/coin.12059 · ExternalCitation · doi-reference
Deep learning–based short-term water demand forecasting in urban areas: a hybrid multichannel model
10.2166/aqua.2024.200 · ExternalCitation · doi-reference
Short-term water demand forecasting using machine learning techniques
10.2166/hydro.2018.163 · ExternalCitation · doi-reference
Prediction and analysis of domestic water consumption based on optimized grey and Markov model
10.2166/ws.2021.146 · ExternalCitation · doi-reference
The limitation of machine learning methods for water supply and demand forecasting: a case study for Greater Melbourne, Australia
10.2166/ws.2024.225 · ExternalCitation · doi-reference
Using GM (1, 1) optimized by MFO with rolling mechanism to forecast the electricity consumption of inner Mongolia
10.3390/app6010020 · ExternalCitation · doi-reference
Stochastic optimal strategy for power management in interconnected multi-microgrid systems
10.3390/electronics11091424 · ExternalCitation · doi-reference
A novel dual-scale deep belief network method for daily urban water demand forecasting
10.3390/en11051068 · ExternalCitation · doi-reference
A short-term data based water consumption prediction approach
10.3390/en12122359 · ExternalCitation · doi-reference
Optimal power flow using the Jaya algorithm
10.3390/en9090678 · ExternalCitation · doi-reference
A novel grey seasonal model for natural gas production forecasting
10.3390/fractalfract7060422 · ExternalCitation · doi-reference
Forecasting the water demand in Chongqing, China using a grey prediction model and recommendations for the sustainable development of urban water consumption
10.3390/ijerph14111386 · ExternalCitation · doi-reference
A critical review of short-term water demand forecasting tools—what method should i use?
10.3390/su14095412 · ExternalCitation · doi-reference
ESG Modeling and Prediction uncertainty of electronic waste
10.3390/su151411281 · ExternalCitation · doi-reference
A framework for sustainable urban water management through demand and supply forecasting: the case of Istanbul
10.3390/su70811050 · ExternalCitation · doi-reference
Grey model prediction enhancement via Bernoulli equation with dynamic polynomial terms
10.3390/sym17050713 · ExternalCitation · doi-reference
Enhancing water management: a comparative analysis of time series prediction models for distributed water flow in supply networks
10.3390/w16131827 · ExternalCitation · doi-reference
Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems
10.5267/j.ijiec.2015.8.004 · ExternalCitation · doi-reference
A discrete Jaya algorithm for permutation flow-shop scheduling problem
10.5267/j.ijiec.2019.12.001 · ExternalCitation · doi-reference
Prediction of water demand using artificial neural networks models and statistical model
10.5815/ijisa.2019.09.05 · ExternalCitation · doi-reference
