简编
太阳辐照度
利用
数值天气预报
光伏系统
卫星
计算机科学
气象学
鉴定(生物学)
数据挖掘
环境科学
地理
工程类
航空航天工程
植物
计算机安全
电气工程
考古
生物
作者
Llinet Benavides César,Rodrigo Amaro e Silva,Miguel Ángel Manso Callejo,Calimanut-Ionut Cira
出处
期刊:Energies
[MDPI AG]
日期:2022-06-14
卷期号:15 (12): 4341-4341
被引量:31
摘要
To better forecast solar variability, spatio-temporal methods exploit spatially distributed solar time series, seeking to improve forecasting accuracy by including neighboring solar information. This review work is, to the authors’ understanding, the first to offer a compendium of references published since 2011 on such approaches for global horizontal irradiance and photovoltaic generation. The identified bibliography was categorized according to different parameters (method, data sources, baselines, performance metrics, forecasting horizon), and associated statistics were explored. Lastly, general findings are outlined, and suggestions for future research are provided based on the identification of less explored methods and data sources.
科研通智能强力驱动
Strongly Powered by AbleSci AI