计算机科学
能源管理
可再生能源
背景(考古学)
激励
楼宇管理系统
能源消耗
SCADA系统
光伏系统
运筹学
环境经济学
能量(信号处理)
控制(管理)
人工智能
工程类
统计
生物
电气工程
古生物学
经济
微观经济学
数学
作者
Brígida Teixeira,Tiago Pinto,Pedro Faria,Zita Vale
标识
DOI:10.1007/978-3-030-86230-5_14
摘要
The increasing penetration of renewable energy sources and the need to adjust to the future demand requires adopting measures to improve energy resources management, especially in buildings. In this context, PV generation forecast has an essential role in the energy management entities by preventing problems related to intermittent weather conditions and allowing participation in incentive programs to reduce energy consumption. This paper proposes an automatic model for the day-ahead PV generation forecast, combining several forecasting algorithms with the expected weather conditions. To this end, this model communicates with a SCADA system, which is responsible for the cyber-physical energy management of an actual building.
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