Energy and AI

Elsevier

Journal websitePeer review: Peer review
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About the journal

Energy and AI is an open-access journal published by Elsevier in United Kingdom, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 4,270 USD. Declared review time at DOAJ: 18 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Elsevier
ISSN
2666-5468
Country
United Kingdom
Languages
english
Access
Open access
Declared publication charge
4,270 USD
Articles in DOAJ
703
Declared review time
18 weeks
Declared peer-review model
peer_review

Index listings

  • DOAJ · 2020-09-23
Indexing
DOAJ
APC
4,270 USD
Declared review time (DOAJ)
18 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Articles in DOAJ

703

Most recent article

last month

Average review time (journal-declared via DOAJ)

18weeks

Works in OpenAlex

773

Last recorded publication year

2026

Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

64

i10-index

382

From OpenAlex open data (CC0).

Editorial & policy12
Last DOAJ review date
2026-04-27
Added to DOAJ
2020-09-23
Declared plagiarism screening
Not declared
Other fees beyond APC
No
Declared digital preservation
CLOCKSSPortico
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Editorial board
Official page ↗
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
100%
ORCID iDs in current deposits
84%
Deposits licence metadata at Crossref
✓
APC waiver policy
View policy
Peer-review policy
View policy
Identity & continuity2
Alternate titles
Energy & AI
Source type
journal
Classification4

Subjects (DOAJ)

Technology: Electrical engineering. Electronics. Nuclear engineeringScience: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software

LCC codes

TK1-9971QA76.75-76.765

Subject areas

  • Energy Load and Power Forecasting
  • Energy Load and Power Forecasting
  • Smart Grid Energy Management
  • Smart Grid Energy Management
  • Advanced Battery Technologies Research
  • Advanced Battery Technologies Research
  • Building Energy and Comfort Optimization
  • Solar Radiation and Photovoltaics
Show all subjects (50)
  • Building Energy and Comfort Optimization
  • Solar Radiation and Photovoltaics
  • Fuel Cells and Related Materials
  • Fuel Cells and Related Materials
  • Machine Learning in Materials Science
  • Machine Learning in Materials Science
  • Electric Vehicles and Infrastructure
  • Advancements in Battery Materials
  • Electric Vehicles and Infrastructure
  • Advancements in Battery Materials
  • Integrated Energy Systems Optimization
  • Smart Grid Security and Resilience
  • Microgrid Control and Optimization
  • Model Reduction and Neural Networks
  • Microgrid Control and Optimization
  • Smart Grid Security and Resilience
  • Integrated Energy Systems Optimization
  • Electric Power System Optimization
  • Electric Power System Optimization
  • Advanced Combustion Engine Technologies
  • Advanced Combustion Engine Technologies
  • Fault Detection and Control Systems
  • Combustion and flame dynamics
  • Model Reduction and Neural Networks
  • Combustion and flame dynamics
  • Photovoltaic System Optimization Techniques
  • Fault Detection and Control Systems
  • Hybrid Renewable Energy Systems
  • Electrocatalysts for Energy Conversion
  • Optimal Power Flow Distribution
  • Electrocatalysts for Energy Conversion
  • Optimal Power Flow Distribution
  • Machine Fault Diagnosis Techniques
  • Machine Fault Diagnosis Techniques
  • Hybrid Renewable Energy Systems
  • Photovoltaic System Optimization Techniques
  • Energy Efficiency and Management
  • Energy Efficiency and Management
  • Power System Reliability and Maintenance
  • Advanced Battery Materials and Technologies
  • Power System Optimization and Stability
  • Power System Reliability and Maintenance

Keywords (DOAJ)

  • renewable energy
  • machine learning
  • energy system
  • energy materials
  • sustainable development
  • electrical engineering

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

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