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References from Interval forecasting of solar irradiation using LSTM, XGBoost and bandwidth optimization of KDE by differential evolution. Local targets link to admitted publications; unresolved targets remain external evidence.
Point and interval prediction for significant wave height based on LSTM-GRU and KDE
10.1016/j.oceaneng.2023.116247 · 2023 · External reference
EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning
10.1016/j.energy.2020.119692 · 2021 · External reference
Wind power prediction based on lstm networks and nonparametric kernel density estimation
10.1109/access.2019.2901317 · 2019 · External reference
Probabilistic forecasting of regional solar power incorporating weather pattern diversity
10.1016/j.egyr.2024.01.039 · 2024 · External reference
A hybrid graph attention network based method for interval prediction of shipboard solar irradiation
10.1016/j.energy.2024.131131 · 2024 · External reference
Probabilistic day-ahead prediction of pv generation. a comparative analysis of forecasting methodologies and of the factors influencing accuracy
10.1016/j.solener.2024.112422 · 2024 · External reference
Enhancing probabilistic solar pv forecasting: Integrating the nb-dst method with deterministic models
10.3390/en17102392 · 2024 · External reference
A hybrid forecasting method considering the long-term dependence of day-ahead electricity price series
10.1016/j.epsr.2024.110841 · 2024 · External reference
A method for accurate prediction of photovoltaic power based on multi-objective optimization and data integration strategy
10.1016/j.apm.2024.115643 · 2024 · External reference
Deep attention convlstm-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power
10.1016/j.eswa.2022.117335 · 2022 · External reference
Wind power forecasting system with data enhancement and algorithm improvement
10.1016/j.rser.2024.114349 · 2024 · External reference
Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation
2020 · External reference
Calculation of solar irradiation prediction intervals combining volatility and kernel density estimates
10.1016/j.energy.2016.07.167 · 2016 · External reference
Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks
10.1016/j.asoc.2022.108875 · 2022 · External reference
Neural network optimization of multivariate KDE bandwidth for buoy spatial information
10.1007/s12204-022-2466-x · 2024 · External reference
Bayesian optimization of multiscale kernel principal component analysis and its application to model gas-to-liquid (gtl) process data
10.1016/j.energy.2023.129221 · 2023 · External reference
Wind speed probability density forecast using optimization based kernel density estimation and quantile regression
2024 · External reference
Probability density forecasting of wind power based on transformer network with expectile regression and kernel density estimation
10.3390/electronics12051187 · 2023 · External reference
Monthly wind distribution prediction based on nonparametric estimation and modified differential evolution optimization algorithm
10.1016/j.renene.2023.119099 · 2023 · External reference
High-resolution (1 km) Köppen-geiger maps for 1901–2099 based on constrained cmip6 projections
10.1038/s41597-023-02549-6 · 2023 · External reference
10.18086/swc.2021.38.03
10.18086/swc.2021.38.03 · External reference
Reconstitution du rayonnement solaire par ciel clair
2006 · External reference
A short-term wind power prediction method via self-adaptive adjacency matrix and spatiotemporal graph neural networks
10.1016/j.compeleceng.2024.109715 · 2024 · External reference
Machine learning forecasting of solar pv production using single and hybrid models over different time horizons
10.1016/j.heliyon.2024.e28898 · 2024 · External reference
A comparative study of machine learning approaches for an accurate predictive modeling of solar energy generation
10.1016/j.egyr.2024.07.010 · 2024 · External reference
Hybrid machine learning model combining of CNN-LSTM-RF for time series forecasting of solar power generation
2024 · External reference
Peak electrical energy consumption prediction by ARIMA, LSTM, GRU, ARIMA-LSTM and ARIMA-GRU approaches
10.3390/en16124739 · 2023 · External reference
RNN-LSTM: From applications to modeling techniques and beyond—systematic review
10.1016/j.jksuci.2024.102068 · 2024 · External reference
Improved prediction of metamaterial antenna bandwidth using adaptive optimization of LSTM
2022 · External reference
Gearbox fault diagnosis based on multi-scale deep residual learning and stacked lstm model
10.1016/j.measurement.2021.110099 · 2021 · External reference
Xgboost: A scalable tree boosting system
2016 · External reference
Early detection of faults in HVAC systems using an xgboost model with a dynamic threshold
10.1016/j.enbuild.2018.12.032 · 2019 · External reference
Point and interval prediction of the effective length of hot-rolled plates based on IBES-XGBoost
10.1016/j.measurement.2023.112857 · 2023 · External reference
Short-term district power load self-prediction based on improved XGBoost model
10.1016/j.engappai.2023.106826 · 2023 · External reference
Temporal network kernel density estimation
10.1111/gean.12368 · 2024 · External reference
Unbiased cross-validation kernel density estimation for wind and pv probabilistic modelling
10.1016/j.enconman.2022.115811 · 2022 · External reference
Drought characteristics derived based on the standardized streamflow index: A large sample comparison for parametric and nonparametric methods
10.1029/2019wr026315 · 2020 · External reference
Detectable anthropogenic changes in daily-scale circulations driving summer rainfall shifts over eastern China
10.1088/1748-9326/ac0f28 · 2021 · External reference
A multi-input and dual-output wind speed interval forecasting system based on constrained multi-objective optimization problem and model averaging
10.1016/j.enconman.2024.118909 · 2024 · External reference
Combinatorial method for bandwidth selection in wind speed kernel density estimation
10.1049/iet-rpg.2018.5643 · 2019 · External reference
An integrated power load point-interval forecasting system based on information entropy and multi-objective optimization
10.1016/j.apenergy.2022.118938 · 2022 · External reference
Hybrid point-interval prediction method for stochastic dynamic response of subsea umbilical cable based on BO-BiLSTM and adaptive bandwidth KDE
10.1016/j.oceaneng.2025.120317 · 2025 · External reference
Incipient fault detection in a hydraulic system using canonical variable analysis combined with adaptive kernel density estimation
10.3390/s23198096 · 2023 · External reference
A novel adaptive multi-scale Rényi transfer entropy based on kernel density estimation
10.1016/j.chaos.2023.113972 · 2023 · External reference
Performance evaluation of gis-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (anfis) with genetic algorithm (ga), differential evolution (de), and particle swarm optimization (pso) for landslide spatial modelling
10.1016/j.catena.2017.05.034 · 2017 · External reference
Grid search based hyperparameter optimization for machine learning based non-intrusive load monitoring
2023 · External reference
Optimization of support vector machine parameters in modeling of iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method
10.1016/j.cageo.2022.105140 · 2022 · External reference
Evaluating time series forecasting models: An empirical study on performance estimation methods
10.1007/s10994-020-05910-7 · 2020 · External reference
K-fold cross-validation: An effective hyperparameter tuning technique in machine learning on gnss time series for movement forecast
2021 · External reference
Sliding window-based randomized k-fold dynamic ann for next-day stock trend forecasting
10.3390/computation13060141 · 2025 · External reference
Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ecmwf reanalysis atmospheric predictors in Southeast Queensland, Australia
10.1016/j.rser.2019.109293 · 2019 · External reference
Spatio-temporal probabilistic forecasting of photovoltaic power based on monotone broad learning system and copula theory
10.1109/tste.2022.3174012 · 2022 · External reference
Power load probability density forecasting using Gaussian process quantile regression
10.1016/j.apenergy.2017.11.035 · 2018 · External reference
Construction of optimal prediction intervals for load forecasting problems
10.1109/tpwrs.2010.2042309 · 2010 · External reference
Single-objective and multi-objective flood interval forecasting considering interval fitting coefficients
10.1007/s11269-024-03848-2 · 2024 · External reference
Occupancy data at different spatial resolutions: Building energy performance and model calibration
10.1016/j.apenergy.2021.116492 · 2021 · External reference
Hybrid bidirectional LSTM model for short-term wind speed interval prediction
10.1109/access.2020.3027977 · 2020 · External reference
Intelligent crude oil price probability forecasting: Deep learning models and industry applications
10.1016/j.compind.2024.104150 · 2024 · External reference
Assessing the performance of real-time epidemic forecasts: A case study of Ebola in the Western Area Region of Sierra Leone, 2014-15
10.1371/journal.pcbi.1006785 · 2019 · External reference
Interpretable uncertainty forecasting framework for robust configuration of energy storage in a virtual power plant
10.1016/j.est.2024.110800 · 2024 · External reference
