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Special Issue "Application of Artificial Intelligence and Data Mining in Energy System"
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 15 July 2023 | Viewed by 10184
Special Issue Editors
Interests: data mining; artificial intelligence; power systems; electricity markets; renewable energy resources management; shared PV generation; electricity communities
Special Issues, Collections and Topics in MDPI journals
Interests: energy resource management; energy systems simulation; electric vehicles; metaheuristic optimization; smart grid; swarm intelligence
Special Issues, Collections and Topics in MDPI journals
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Special Issue in Electronics: Electric Vehicles Integration and Control in Smart Grids
Special Issue in Energies: Energy Transition: Decentralization, Electric Vehicles, and Local Energy Markets
Special Issue in Energies: Recent Advances in Power Distribution Networks: Applications and Technologies for Local Energy Communities Integration
Special Issue Information
The power systems from today are very different from those of the past. Over the world, due to environmental concerns, the governments had been betting on the use of renewable energy sources to produce electricity. Power systems now face new challenges in order to integrate into this kind of generation. In fact, power systems are moving towards to the concept of smart grids. End-users are more aware of sustainability and energy efficiency issues having an active role in this sector. The quantity of data in power systems is growing rapidly due to huge database used by power systems engineers for various operations: power plants generation; transmission and distribution energy; electricity end-users (and prosumers).
Applications of data mining techniques play an important role in all knowledge discovery processes, and they have a widespread use in power systems for tasks such as helping power systems planner/operator to have smooth system planning/operation, load profile characterization, consumer classification, and electricity consumption/generation forecasting. Indeed, data mining techniques are useful for extracting useful information from the existing data bases. The application of artificial intelligence to power systems has been a great challenge in the last few decades and, gradually, has entered in our daily lives. Indeed, at present time, the use of artificial intelligence in power systems is a key point in many research fields and domains.
This Special Issue focuses on the application of artificial intelligence and data mining in power system. Topics of interest for publication include but are not limited to the following:
- Data mining techniques applied to power systems (e.g., Typical load profile characterization, customers classification, identification of electricity failures)
- Artificial intelligence applied to energy systems (e.g., use of methods such as knowledge-based (expert) systems, fuzzy logic, neural networks and genetic algorithms)
- Renewable energy, demand-response, smart distribution grids
- Energy management system in smart distribution grids and in residential buildings
- Advanced flexibility strategies for electricity communities
- Shared PV generation in residential building context
- Electric vehicles planning and operation in smart grid (including behavior models for simulation and optimization of EVs in the grid)
Prof. Dr. Sérgio Ramos
Dr. João Soares
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Data mining techniques
- Typical load profiles
- Electricity consumers characterization
- Optimization methods
- Energy communities
- Shared PV generation
- Demand response
- Renewable energy sources
- Electric vehicles planning and operation