Virtual storage-based DSM with error-driven prediction modulation for microgrids

• Main Authors: Lee, Xuecong, Yan, Mengxuan, Xu, Fang Yuan, Wang, Yue, Fan, Yiliang, Lee, Zekai, Wen, Yonggang, Mohammad Shahidehpour, Lai, Loi Lei
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Storage; Microgrid; Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/89998; http://hdl.handle.net/10220/49344
• Institution: Nanyang Technological University

Microgrids consider adjustable loads in demand-side management (DSM), which respond to dynamic market prices. A reliable DSM strategy relies on load forecasting techniques in day-ahead (DA) scheduling. This paper applies an error-driven prediction modulation to evaluate these differences. In additio...