Renewable Energy Forecasting for Energy Storage Sizing: A Review

Anita Seervi; Vikash Kumar Saini; Rajesh Kumar; M. A. Mahmud

doi:10.1109/ICISSGT52025.2021.00037

Renewable Energy Forecasting for Energy Storage Sizing: A Review

Anita Seervi
, Vikash Kumar Saini
, Rajesh Kumar
, M. A. Mahmud

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	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
Number of pages	6
ISBN (Electronic)	9781665404167
DOIs	https://doi.org/10.1109/ICISSGT52025.2021.00037
Publication status	Published - 2021
Externally published	Yes
Event	2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021 - Visakhapatnam, India Duration: 13 Nov 2021 → 14 Nov 2021

Publication series

Name	Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021

Conference

Conference	2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021
Country/Territory	India
City	Visakhapatnam
Period	13/11/21 → 14/11/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

Keywords

Energy Storage System
Forecasting
Power System
Renewable Energy

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Information Systems and Management
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/ICISSGT52025.2021.00037

Cite this

Seervi, A., Saini, V. K., Kumar, R., & Mahmud, M. A. (2021). Renewable Energy Forecasting for Energy Storage Sizing: A Review. In Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021 (pp. 134-139). (Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICISSGT52025.2021.00037

Seervi, Anita ; Saini, Vikash Kumar ; Kumar, Rajesh et al. / Renewable Energy Forecasting for Energy Storage Sizing : A Review. Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 134-139 (Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021).

@inproceedings{2e433a71f5a04c52b39f2df9c0fe66bb,

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",

}

Seervi, A, Saini, VK, Kumar, R & Mahmud, MA 2021, Renewable Energy Forecasting for Energy Storage Sizing: A Review. in Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021. Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021, Institute of Electrical and Electronics Engineers Inc., pp. 134-139, 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021, Visakhapatnam, India, 13/11/21. https://doi.org/10.1109/ICISSGT52025.2021.00037

Renewable Energy Forecasting for Energy Storage Sizing: A Review. / Seervi, Anita; Saini, Vikash Kumar; Kumar, Rajesh et al.
Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 134-139 (Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Renewable Energy Forecasting for Energy Storage Sizing

T2 - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021

AU - Seervi, Anita

AU - Saini, Vikash Kumar

AU - Kumar, Rajesh

AU - Mahmud, M. A.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Energy Storage System

KW - Forecasting

KW - Power System

KW - Renewable Energy

UR - https://www.scopus.com/pages/publications/85127552190

U2 - 10.1109/ICISSGT52025.2021.00037

DO - 10.1109/ICISSGT52025.2021.00037

M3 - Conference contribution

AN - SCOPUS:85127552190

T3 - Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021

SP - 134

EP - 139

BT - Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 13 November 2021 through 14 November 2021

ER -

Seervi A, Saini VK, Kumar R, Mahmud MA. Renewable Energy Forecasting for Energy Storage Sizing: A Review. In Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 134-139. (Proceedings - 2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2021). doi: 10.1109/ICISSGT52025.2021.00037

Renewable Energy Forecasting for Energy Storage Sizing: A Review

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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