综合智慧能源2025，Vol.47Issue(3)：32-46,15.DOI:10.3969/j.issn.2097-0706.2025.03.004
人工智能技术在风力与光伏发电数据挖掘及功率预测中的应用综述
Review on the application of artificial intelligence in data mining and wind and photovoltaic power forecasting
摘要
Abstract
As global demand for renewable energy continues to surge,efficiently and intelligently managing and forecasting renewable energy generation has become a pivotal research objective in energy sector.Applications of artificial intelligence(AI)technologies in the multi-dimensional data processing and intelligent forecasting of renewable energy generation are explored,focusing on its role in handling complex and highly variable data.First,the role of multi-dimensional feature mining techniques in processing wind and solar energy generation data from the perspective of meteorological conditions and spatiotemporal features is studied.Subsequently,a systematic analysis on intelligent forecasting techniques applied across different spatiotemporal scales and scenarios is offered,with particular emphasis on its usage in machine learning and deep learning models.These models have gained significant attention for their outstanding performance in dealing with nonlinear and high-dimensional data.Thorough reviews on the latest research findings demonstrate the substantial benefits of these AI technologies in enhancing the accuracy and efficiency of wind and solar energy generation forecasts.Additionally,it delves into the strengths and limitations of existing technologies and their development directions,particularly emphasizing the importance of improving the robustness,real-time processing capabilities,and adaptability of intelligent forecasting models in various scenarios.This study provides theoretical insights and practical guidance for advancing the development of renewable energy.关键词
人工智能/可再生能源发电/气象特征提取/时空特征提取/光伏发电预测/风力发电预测/数据挖掘Key words
AI/renewable energy generation/meteorological feature extraction/spatiotemporal feature extraction/photovoltaic power forecasting/wind power forecasting/data mining分类
能源科技引用本文复制引用
张冬冬,单琳珂,刘天皓..人工智能技术在风力与光伏发电数据挖掘及功率预测中的应用综述[J].综合智慧能源,2025,47(3):32-46,15.基金项目
国家自然科学基金项目(52107083) （52107083）
广西科技重大专项(AA22068071)National Natural Science Foundation of China(52107083) （AA22068071）
Guangxi Science and Technology Major Project(AA22068071) （AA22068071）
