Energy and AI - Elsevier B.V | 2024 Impact Factor: 9.6 | Cite Score: 16.5 | Q1

About:

• About this Journal:
• Energy and AI is an international open-access journal that focuses on the intersection of energy systems and artificial intelligence technologies.Official Journal of Tianjin University Energy and AI provides a fast and authoritative open access platform to disseminate the latest research progress in the cross-disciplinary area of energy and artificial intelligence (AI). The journal focuses on innovative applications of AI that address the critical challenges in energy systems, energy materials, energy chemistry, energy utilization & conversion, and energy & society, as well as other important pressing issues in energy research. The journal also considers papers on the development of bespoke AI technologies and methodologies for advancing energy, decarbonization and sustainable development, such as data-driven approaches, optimization algorithms and AI ethics.
• The journal aims to accelerate the transition toward sustainable and intelligent energy systems by publishing research on AI-driven modeling, optimization, and management of energy resources.Energy and AI aims to become a leading journal for cutting-edge research at the interface between energy and AI. Papers purely focusing on a single aspect of energy or AI are not suitable for the journal. The journal considers full length, short communications, perspective and review articles, and publishes 4 volumes per year.
• It provides a platform for researchers, engineers, and policymakers to explore the applications of AI in energy production, distribution, storage, and efficiency.
• The publication encourages interdisciplinary studies that combine data science, energy engineering, and computer intelligence for advancing clean energy solutions.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Professor Donghan Jin, PhD

Scope:

• Scope of the Journal:
• Artificial intelligence, machine learning, and data analytics for energy systems.
• Smart grids, renewable energy integration, and energy optimization.
• AI applications in energy forecasting, control, and decision support.
• Modeling and simulation of sustainable and low-carbon energy systems.
• Automation and intelligent management in power generation and distribution.
• AI-enhanced battery management, electric vehicles, and energy storage.
• Ethical, policy, and security aspects of AI adoption in the energy sector.
• Latest Research Topics for PhD in Machine Learning
• Latest Research Topics for PhD in Artificial Intelligence
• Latest Research Topics for PhD in Internet of Things

• Print ISSN:  26665468

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus

• Imapct Factor 2024:  9.6

• Subject Area and Category:  Artificial Intelligence, Energy (miscellaneous)

• Publication Frequency:  

• H Index:  44

• Best Quartile:

  Q1:  Artificial Intelligence

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  16.5

• SNIP:  2.359

• Journal Rank(SJR):  2.000

• Latest Articles:   Latest Articles in Energy and AI - Elsevier B.V | 2024 Impact Factor: 9.6 | Cite Score: 16.5 | Q1

• Guidelines for Authors: Energy and AI - Elsevier B.V | 2024 Impact Factor: 9.6 | Cite Score: 16.5 | Q1 Author Guidelines

• Paper Submissions: Paper Submissions in Energy and AI - Elsevier B.V | 2024 Impact Factor: 9.6 | Cite Score: 16.5 | Q1

• Publisher:  Elsevier B.V.

  Country:  Netherlands