Editorial: AI-based energy storage systems

Muhammad Khalid; Elżbieta Jasińska

doi:10.3389/fenrg.2025.1626556

Editorial: AI-based energy storage systems

Muhammad Khalid^*, Elżbieta Jasińska

^*Corresponding author for this work

Research output: Contribution to journal › Editorial

Original language	English
Article number	1626556
Journal	Frontiers in Energy Research
Volume	13
DOIs	https://doi.org/10.3389/fenrg.2025.1626556
State	Published - 2025

Keywords

artificial intelligence - AI
electric vehicles
energy storage and conversion
optimization
renewable energy

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Fuel Technology
Energy Engineering and Power Technology
Economics and Econometrics

UN SDGs

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

Access to Document

10.3389/fenrg.2025.1626556

Cite this

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title = "Editorial: AI-based energy storage systems",

keywords = "artificial intelligence - AI, electric vehicles, energy storage and conversion, optimization, renewable energy",

author = "Muhammad Khalid and El{\.z}bieta Jasi{\'n}ska",

year = "2025",

doi = "10.3389/fenrg.2025.1626556",

language = "English",

volume = "13",

journal = "Frontiers in Energy Research",

issn = "2296-598X",

publisher = "Frontiers Media SA",

}

TY - JOUR

T1 - Editorial

T2 - AI-based energy storage systems

AU - Khalid, Muhammad

AU - Jasińska, Elżbieta

PY - 2025

Y1 - 2025

KW - artificial intelligence - AI

KW - electric vehicles

KW - energy storage and conversion

KW - optimization

KW - renewable energy

UR - https://www.scopus.com/pages/publications/105009522943

U2 - 10.3389/fenrg.2025.1626556

DO - 10.3389/fenrg.2025.1626556

M3 - Editorial

AN - SCOPUS:105009522943

SN - 2296-598X

VL - 13

JO - Frontiers in Energy Research

JF - Frontiers in Energy Research

M1 - 1626556

ER -