Artificial Intelligence on Energy 4.0
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 7458
Special Issue Editors
Interests: cyber-physical systems; fault detection and diagnosis methods; machine and deep learning; electrical machines and drives
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The digitalization of energy is breaking the traditional boundaries between supply and demand. The energy sector, based on data and artificial intelligence, is increasingly decentralized—redefining the generation, transport, distribution, and consumption models of so-called Energy 4.0. Energy 4.0 is, then, a matter of the integration of energy sources and energy demand, particularly considering the manufacturing sector as one of the main players in the paradigm. Effective deployment of the fourth industrial revolution entails energy management as a main driver of the factories of the future. Thus, in classical automation, energy is considered an input vector but is not integrated into the factory operation strategy. Current digitization, connectivity, and processing technologies allow energy to become a production variable of the companies, while the factory is an active element of the smart grid distribution system. In this regard, the energy sector has embraced emerging technologies such as the Internet of Things, data science, machine/deep learning, and cloud computing. It has mainly focused on the deployment of cyberphysical-based solutions towards sustainable and operationally efficient strategies for producing and delivering energy, and taken advantage of the digital transformation of process automation in plants.
This Special Issue considers the digitalization of the energy and utilities sector towards Energy 4.0, and how these transformations, supported by artificial intelligence technology, will impact the factories of the future. Papers considering the following areas of research are invited:
- Cyberphysical systems applied to energy sector;
- Optimization and control of power generation plants;
- Artificial intelligence-based demand response;
- Predictive maintenance and machine learning applied to the energy and utilities sector;
- Industrial Internet of Things in energy management;
- Industrial smart grids: transportation, distribution and energy storage.
Prof. Dr. Luis Romeral
Guest Editors
Manuscript Submission Information
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Keywords
- energy quality
- energy flow
- energy storage
- distributed generation
- energy infrastructure
- power plants
- energy conversion and management
- deep learning
- cyberphysical systems
- artificial intelligence and machine learning
- energy distribution
- demand side and utilities
- renewables
- predictive maintenance
- decision support systems
- information fusion
- industrial demand response
- industrial demand-side management strategies
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