Artificial intelligence-based prediction and analysis of the oversupply of wind and solar energy in power systems

A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm

(2021) Mehdi Neshat et al.   ENERGY CONVERSION AND MANAGEMENT

Two novel hybrid linear and nonlinear models for wind speed forecasting

(2021) Xiaojia Huang et al.   ENERGY CONVERSION AND MANAGEMENT

Hybrid forecasting system based on data area division and deep learning neural network for short-term wind speed forecasting

(2021) Zhuoyi Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting

(2021) Lilin Cheng et al.   IEEE Transactions on Sustainable Energy

Probabilistic planning of the active and reactive power sources constrained to securable-reliable operation in reconfigurable smart distribution networks

(2021) Eshagh Faraji et al.   ELECTRIC POWER SYSTEMS RESEARCH

Investigation of Simultaneous Effect of Demand Response and Load Uncertainty on Distribution Feeder Reconfiguration

(2020) Ali Reza Abbasi   IET Generation Transmission & Distribution

Probabilistic Load Flow Based on Holomorphic Embedding, Kernel Density Estimator and Saddle Point Approximation Including Correlated Uncertainty Variables

(2020) Ali Reza Abbasi   ELECTRIC POWER SYSTEMS RESEARCH

Snow Loss Prediction for Photovoltaic Farms Using Computational Intelligence Techniques

(2020) Behzad Hashemi et al.   IEEE Journal of Photovoltaics

Mitigating Curtailment and Carbon Emissions through Load Migration between Data Centers

(2020) Jiajia Zheng et al.   Joule

Solar irradiance forecasting based on direct explainable neural network

(2020) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting

(2020) Mousa Afrasiabi et al.   IEEE Transactions on Industrial Informatics

Wind power forecasting – A data-driven method along with gated recurrent neural network

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

Spatio-temporal Graph Deep Neural Network for Short-term Wind Speed Forecasting

(2018) Mahdi Khodayar et al.   IEEE Transactions on Sustainable Energy

Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China

(2018) Cunbin Li et al.   JOURNAL OF CLEANER PRODUCTION

Deep Neural Networks for Wind and Solar Energy Prediction

(2017) David Díaz–Vico et al.   NEURAL PROCESSING LETTERS

Exploring Key Weather Factors from Analytical Modeling toward Improved Solar Power Forecasting

(2017) Jianxiao Wang et al.   IEEE Transactions on Smart Grid

A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output

(2014) Hong-Tzer Yang et al.   IEEE Transactions on Sustainable Energy