review Open AccessTop 1% cited
Machine learning methods for solar radiation forecasting: A review
Renewable Energy · 2017 · Vol. 105 · pp. 569–582
Cyril Voyant✉(Centre National de la Recherche Scientifique)Gilles Notton(Centre National de la Recherche Scientifique)Soteris A. Kalogirou(Cyprus University of Technology)Marie Laure Nivet(Centre National de la Recherche Scientifique)Christophe Paoli(Centre National de la Recherche Scientifique)Fabrice Motte(Centre National de la Recherche Scientifique)Alexis Fouilloy(Centre National de la Recherche Scientifique)
Solar Radiation and PhotovoltaicsEnergy Load and Power ForecastingPhotovoltaic System Optimization TechniquesComputer scienceSolar irradianceProbabilistic forecastingRandom forestGradient boostingContext (archaeology)Artificial neural networkMachine learningSupport vector machineSolar power
Funding
- European Commission
Citations
1,645
FWCI
100.74
field-weighted impact
References
109
Percentile
100%
vs. same field & year
Citations per year
Cited by
Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China
Energy Conversion and Management · 2018 · 624 citations
Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
Energy · 2018 · 912 citations
Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency
Applied Sciences · 2021 · 313 citations
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
Solar Energy · 2018 · 501 citations
Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data
Ecological Modelling · 2019 · 556 citations
State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
Energies · 2019 · 534 citations
A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation
IEEE Transactions on Industrial Informatics · 2021 · 370 citations
References
Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks
Energy · 2007 · 923 citations
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Expert Systems with Applications · 2012 · 652 citations
Predicting solar radiation at high resolutions: A comparison of time series forecasts
Solar Energy · 2008 · 628 citations
Online short-term solar power forecasting
Solar Energy · 2009 · 794 citations
Artificial neural networks in renewable energy systems applications: a review
Renewable and Sustainable Energy Reviews · 2001 · 1,133 citations
Time series forecasting using a hybrid ARIMA and neural network model
Neurocomputing · 2003 · 4,235 citations
Time Series: Theory and Methods
Technometrics · 1992 · 5,091 citations
Random Forests
Machine Learning · 2001 · 121,242 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.