可再生能源
风力发电
需求预测
电
风电预测
质量(理念)
数据科学
环境经济学
计算机科学
经济
运筹学
功率(物理)
工程类
电力系统
物理
量子力学
哲学
电气工程
认识论
作者
Tao Hong,Pierre Pinson,Yi Wang,Rafał Weron,Dazhi Yang,Hamidreza Zareipour
标识
DOI:10.1109/oajpe.2020.3029979
摘要
Forecasting has been an essential part of the power and energy industry. Researchers and practitioners have contributed thousands of papers on forecasting electricity demand and prices, and renewable generation (e.g., wind and solar power). This article offers a brief review of influential energy forecasting papers; summarizes research trends; discusses importance of reproducible research and points out six valuable open data sources; makes recommendations about publishing high-quality research papers; and offers an outlook into the future of energy forecasting.
科研通智能强力驱动
Strongly Powered by AbleSci AI