SCIESCOPUSQ1
Energy and AI
ELSEVIER, Netherlands
Energy and AI is an academic journal published by ELSEVIER (Netherlands). Identifiers: ISSN 2666-5468, eISSN 2666-5468. Indexed in SCIE, SCOPUS. Metrics: JIF 9.6, CiteScore 16.5, SJR 2.000, SNIP 2.36. Subject areas: ENERGY & FUELS. tlooto lists 976 papers from this journal.
CiteScore
16.50
Scopus citation metric
SJR
2.000
SCImago rank
SNIP
2.36
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2666-5468
- eISSN
- 2666-5468
- Abbreviation
- ENERGY AI
- Publisher
- ELSEVIER
- Country
- Netherlands
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
17022100 General Energy2201 Engineering (miscellaneous)
Papers in this journal
Recent papers
- A multi-task learning framework for real-time integrated FDIA localization and state correction of cyber–physical power systems
2026
- Toward smarter HVAC control: Machine learning reveals hidden drivers in thermal comfort databases
2026 · 1 citations
- Photovoltaic Knowledge-Informed Neural Network (PKINN): Interpretable power prediction model under Fluctuating Environmental Conditions
2026 · 5 citations
- DSA-SafetyBench: A safety-aware benchmark for artificial-intelligence-based dynamic security assessment in energy systems
2026
- A Deep Learning Framework for Heat Demand Forecasting using Time-Frequency Representations of Decomposed Features
2026
Most cited papers
- Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities
2022 · 417 citations
- Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology
2020 · 397 citations
- Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems
2020 · 323 citations
- Methods and Applications for Artificial Intelligence, Big Data, Internet-of-Things, and Blockchain in Smart Energy Management
2022 · 315 citations
- A review and taxonomy of wind and solar energy forecasting methods based on deep learning
2021 · 255 citations