Multi-meteorological-factor-based graph modeling for photovoltaic power forecasting

• Main Authors: Cheng, Lilin, Zang, Haixiang, Ding, Tao, Wei, Zhinong, Sun, Guoqiang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Predictive Models; Forecasting
• Online Access: https://hdl.handle.net/10356/160070
• Institution: Nanyang Technological University

Solar energy is a strongly intermittent renewable energy source, which is affected by varied meteorological conditions, and thus produces arbitrary power outputs in photovoltaic (PV) power generation. Complex weather variations make it challenging to develop an efficient PV power forecasting method....