Comparison of Power Output Forecasting on the Photovoltaic System Using Adaptive Neuro-Fuzzy Inference Systems and Particle Swarm Optimization-Artificial Neural Network Model

Recurrent Neural Network-Based Hourly Prediction of Photovoltaic Power Output Using Meteorological Information

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Day-Ahead Photovoltaic Forecasting: A Comparison of the Most Effective Techniques

(2019) Alfredo Nespoli et al.   Energies

A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning

(2019) Le Thi Le et al.   Applied Sciences-Basel

Probabilistic Model for Spatio-Temporal Photovoltaic Power Forecasting

(2018) Xwegnon Ghislain Agoua et al.   IEEE Transactions on Sustainable Energy

Ensemble Learning Approach for Probabilistic Forecasting of Solar Power Generation

(2016) Azhar Ahmed Mohammed et al.   Energies

A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data

(2013) Ahmed A. A. Esmin et al.   ARTIFICIAL INTELLIGENCE REVIEW

Short-Term Power Forecasting Model for Photovoltaic Plants Based on Historical Similarity

(2013) Claudio Monteiro et al.   Energies

Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials

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A Path to Sustainable Energy by 2030

(2009) Mark Z. Jacobson et al.   SCIENTIFIC AMERICAN