@inproceedings{c4adbfa148ba4edaa6de135e769b5d29,
title = "Renewable Energy Forecasting for Energy Storage Sizing: A Review",
abstract = "The increasing low carbon technologies in electricity generation (i.e. wind and solar), the system operator faced various challenges due to their intermittent and fluctuating nature. To address these challenges, energy storage have a potential solution. The optimal size of energy storage is most crucial issue at the planning stage. Renewable energy forecast error affects the storage sizing and scheduling. However, accurate forecasting is still a challenge in the perspective of energy storage. Therefore, this review paper explores the forecasting models with sizing of storage methods for enhancing the penetration of renewable energy generation. Further, the energy storage application in power system categorized based on specific area i.e. bulk energy services, ancillary services, power quality management, transmission and distribution infrastructure services and local energy management services also discussed.",
keywords = "Energy Storage System, Forecasting, Power System, Renewable Energy",
author = "Anita Seervi and Saini, {Vikash Kumar} and Rajesh Kumar and Mahmud, {M. A.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021 ; Conference date: 13-11-2021 Through 14-11-2021",
year = "2021",
doi = "10.1109/ICISSGT52025.2021.00037",
language = "English",
series = "Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "134--139",
booktitle = "Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021",
address = "United States",
}
