(ISSN 2766-6190)
Advances in Environmental and Engineering Research (AEER) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is devoted to publishing high-quality peer-reviewed papers that describe the most significant and cutting-edge research in all areas of environmental science and engineering. Work at any scale, from molecular biology to ecology, is welcomed.
Main research areas include (but are not limited to):
- Atmospheric pollutants
- Air pollution control engineering
- Climate change
- Ecological and human risk assessment
- Environmental management and policy
- Environmental impact and risk assessment
- Environmental microbiology
- Ecosystem services, biodiversity and natural capital
- Environmental economics
- Control and monitoring of pollutants
- Remediation of polluted soils and water
- Fate and transport of contaminants
- Water and wastewater treatment engineering
- Solid waste treatment
Advances in Environmental and Engineering Research publishes a variety of article types (Original Research, Review, Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, etc.). We encourage authors to be succinct; however, authors should present their results in as much detail as necessary. Reviewers are expected to emphasize scientific rigor and reproducibility.
Special Issue
Artificial Intelligence for Energy Efficiency in the Built Environment
Submission Deadline: May 31, 2027 (Open) Submit Now
Guest Editor
Joana Sousa, PhD, Auxiliar Professor
Faculty of Natural Sciences, Engineering and Technology, Lusófona University, Porto, Portugal
Research Interests: Energy policy; Sustainable energy systems; Renewable energy; Demand response; Electricity markets; Built environment; Energy efficiency; Energy efficiency in buildings; Sustainable development
About This Topic
Artificial Intelligence is playing an increasingly important role in improving energy efficiency in the built environment, as buildings are large energy consumers. By using Artificial Intelligence, it is possible to manage these systems more efficiently and sustainably.
AI can analyse data from sensors, smart meters, and occupancy patterns, among others. This allows building systems to predict energy demand and adjust automatically in real time. IA can also help to prevent energy waste, reduce costs, and extend the life of building technologies through predictive maintenance. It is a powerful support tool for experts to test different materials, layouts, and energy strategies. Despite the existing barriers, AI can help to create buildings that are more efficient, comfortable and environmentally responsible.
Authors are invited to submit theoretical, empirical, quantitative, qualitative, mixed-methods, review, simulation-based, or case-study-based articles that explore how AI can shape the future of buildings by improving energy efficiency, optimising energy consumption, and supporting the transition towards more sustainable built environments.
Keywords
Artificial Intelligence; Energy Efficiency; Built Environment; Smart Buildings; Energy Consumption; Predictive Maintenance; Building Energy Management; Energy Demand Prediction; Sustainable Buildings; Real-Time Optimization.
Manuscript Submission Information
Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (aeer@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.
Welcome your submission!
- Journal Metrics
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2025 
CiteScore SJR SNIP 2.5 0.289 0.395 - Newsletter