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References from Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings. Local targets link to admitted publications; unresolved targets remain external evidence.
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Development of integrated demand and supply side management strategy of multi-energy system for residential building application
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Big data analytics for discovering electricity consumption patterns in smart cities
10.3390/en11030683 · 2018 · External reference
A review of artificial intelligence based building energy use prediction: contrasting the capabilities of single and ensemble prediction models
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A review of data mining technologies in building energy systems: load prediction, pattern identification, fault detection and diagnosis
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A review of data-driven approaches for prediction and classification of building energy consumption
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A review of data-driven building energy consumption prediction studies
10.1016/j.rser.2017.04.095 · 2018 · External reference
Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands
10.1016/j.aei.2019.100926 · 2019 · External reference
A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand
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Short term load forecasting using artificial neural network
2017 · External reference
A prediction model based on neural networks for the energy consumption of a bioclimatic building
10.1016/j.enbuild.2014.06.052 · 2014 · External reference
A data-driven approach for steam load prediction in buildings
10.1016/j.apenergy.2009.09.004 · 2010 · External reference
Forecasting diurnal cooling energy load for institutional buildings using artificial neural networks
10.1016/j.enbuild.2015.12.050 · 2016 · External reference
Deployment of data-mining short and medium-term horizon cooling load forecasting models for building energy optimization and management
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On-line building energy prediction using adaptive artificial neural networks
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Theory of the backpropagation neural network
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Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
10.1016/j.apenergy.2018.07.085 · 2018 · External reference
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Electrical consumption forecasting in hospital facilities: an application case
10.1016/j.enbuild.2015.05.056 · 2015 · External reference
Trees vs Neurons: comparison between random forest and ANN for high-resolution prediction of building energy consumption
10.1016/j.enbuild.2017.04.038 · 2017 · External reference
A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction
10.1016/j.enbuild.2018.06.017 · 2018 · External reference
Prediction of energetic performance of a building integrated photovoltaic/thermal system thorough artificial neural network and hybrid particle swarm optimization models
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Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis
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Neural network based optimization approach for energy demand prediction in smart grid
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Random hyper-parameter search-based deep neural network for power consumption forecasting
2019 · External reference
Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground source heat pump system
10.1016/j.enbuild.2018.01.029 · 2018 · External reference
Incentive-based demand response for smart grid with reinforcement learning and deep neural network
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A comparative analysis of gradient descent-based optimization algorithms on convolutional neural networks
2018 · External reference
An experimental approach towards the performance assessment of various optimizers on convolutional neural network
2019 · External reference
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Neural network-based seismic response prediction model for building structures using artificial earthquakes
10.1016/j.jsv.2019.115109 · 2020 · External reference
Real-time water level prediction of cascaded channels based on multilayer perception and recurrent neural network
10.1016/j.jhydrol.2020.124783 · 2020 · External reference
Prediction of the minimum film boiling temperature using artificial neural network
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External reference
Unresolved reference
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Unresolved reference
External reference
10.1109/ijcnn.2017.7966398
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