Short-term Forecasting Approach Based on bidirectional long short-term memory and convolutional neural network for Regional Photovoltaic Power Plants

Gang Li; Shunda Guo; Xiufeng Li; Chuntian Cheng

doi:10.1016/j.segan.2023.101019

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Short-term Forecasting Approach Based on bidirectional long short-term memory and convolutional neural network for Regional Photovoltaic Power Plants

Gang Li Shunda Guo Xiufeng Li Chuntian Cheng

Year: 2023 Journal: Sustainable Energy Grids and Networks Vol: 34 Pages: 101019-101019 Publisher: Elsevier BV

DOI: 10.1016/j.segan.2023.101019

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Keywords:

Photovoltaic system Term (time) Computer science Artificial neural network Convolutional neural network Power (physics) Electricity generation Electric power system Artificial intelligence Engineering Electrical engineering

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Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Photovoltaic System Optimization Techniques

Physical Sciences → Energy → Renewable Energy, Sustainability and the Environment

Short-term Forecasting Approach Based on bidirectional long short-term memory and convolutional neural network for Regional Photovoltaic Power Plants

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