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
Guest Editors
Please check the issue information on MDPI: Special Issue “Application of Artificial Intelligence and Data Mining in Energy System”