ItemBook Chapter

Model Selection Strategies for Identifying Effective Energy Storage Systems

Title
Model Selection Strategies for Identifying Effective Energy Storage Systems
Creator
Eapen, Naived George; Joseph, Alwin
Description
Energy is present in various forms in and around us. Capturing and storing energy from various sources have diverse challenges. Designing and developing energy storage systems are challenging, as various techniques are used to distribute energy from sources and to store for diverse use cases. Identifying the optimal and effective energy storage system requires the application of various model selection strategies. The success and adoption of effective energy storage systems can be identified with numerous factors, which include the systems efficiency, reliability, cost-effectiveness, and scalability. Various model selection strategies are available to compute and determine the effective energy storage mechanisms. Various researchers are planning and designing energy storage systems based on the insights from the data with the support of optimisation algorithms, mathematical models, and Artificial Intelligence (AI) and Machine Learning (ML) technologies. The chapter discusses the various model selection strategies for identifying effective models for energy storage systems. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Source
Power Systems;Volume;Part F914;pp.197-231
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Effective; Energy; Identifying; Model; Selection; Storage; Strategies; Systems
Coverage
Eapen N.G., CHRIST (Deemed to be University), Maharashtra, Pune, India; Joseph A., CHRIST (Deemed to be University), Maharashtra, Pune, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 16121287;
Format
online
Language
English
Type
Book chapter

Citation

Eapen, Naived George; Joseph, Alwin, “Model Selection Strategies for Identifying Effective Energy Storage Systems,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24024.

Output Formats