Research on long term power load grey combination forecasting based on fuzzy support vector machine

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

Jiandong Duan, Peng Wang, Wentao Ma et al. · Energy · 2020 · 215 citations

Engineering, Wind Power Generation, Energy Forecasting +4

Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads

Zichen Zhang, Wei‐Chiang Hong · Knowledge-Based Systems · 2021 · 212 citations

Forecasting Methodology, Engineering, Energy Management +9

A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting

Tanveer Ahmad, Dongdong Zhang · Energy · 2021 · 115 citations

Sequence Modelling, Engineering, Wind Power Generation +7

A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation

Wuyong Qian, Aodi Sui · Expert Systems with Applications · 2021 · 75 citations

Renewable Energy Generation, Energy Modeling, Engineering +9

Comparative study of machine learning approaches for predicting short-term photovoltaic power output based on weather type classification

Xiaoyang Wang, Yunlin Sun, Duo Luo et al. · Energy · 2021 · 69 citations

Electrical Engineering, Engineering, Machine Learning +15