Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Rethinking Renewable Energy Management Using Intelligent Decision Support Systems"
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 (1 January 2023) | Viewed by 1410
Special Issue Editors
Interests: intelligent healthcare systems; Internet of Things for Cardiovascular; patient monitoring; medical signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent systems; big data; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue in Electronics: Intelligent Data Sensing, Processing, Mining, and Communication
Special Issue in Sensors: Advances in IoMT for Healthcare Systems
Special Issue in Electronics: Looking into the Future of IoT-Enabled Vehicle Tracking Systems
Special Issue in Biosensors: Utilizing Multifunctional Biosensors for Health Monitoring Systems: A Smart Applications
Special Issue in Big Data and Cognitive Computing: Big Data Optimization Techniques for Internet of Things and Smart Cities Applications
Special Issue in Applied Sciences: Emerging Trends and Applications of Big Data Analytics and the Internet of Things for Future Smart Cities
Special Issue in Electronics: Future Prospects of IoMT for Smart Healthcare Systems (ICSCA2022)
Special Issue in Electronics: New Challenges of Networking Technologies and IoT
Special Issue Information
Over recent decades, renewable energy sources (RES) and energy production have increased. Consequently, renewable energy sources are seen to boost economic strength while also reducing fossil fuel consumption. However, it is evident to users that the ultimate decision-making system in selecting a REMS project facility is complex, encompassing a variety of factors at many levels such as commercial, technological, and environment. Various strategies aimed at increasing the usage of renewable energy management systems (REMS) to use all these RES effectively have received much attention. Artificial intelligence (AI) approaches are critical in today's energy systems. In specific energy systems, an intelligent method is a unique approach. Because of the development's multiple non-homogeneous forms of energy, it promotes the widespread usage of RES. Decision support systems (DSS) are now a well-established part of regular knowledge management. Computer system enhanced complexity and Intelligent ability creates many to an excellent platform for such complicated organizational necessities that appear to be suitable for tackling today's decision-making problem. The most common issues addressed by DSS in the REMS are energy transportation, power generation, energy consumption, energy demand, developing energy systems, the effect of pollution, and others. Researchers can see that more advanced DSS, particularly in the sector of REMS, use multi-criteria decision-making (MCDM) methodologies to gather and evaluate input information and generate outcomes, so DSS involves extra intelligent techniques and methods that could include a group of decision-makers in arbitrary, active, and dispersed surroundings. The RES sector presents major new issues for data analysis in the intelligent decisions support system (IDSS). Researchers provide an intelligent RE-DSS structure within that research to assist DSS in developing intelligent REMS. Future progress in RE-DSS includes the participation of an entire RES Information System that must protect most RES field incidents such as Fuel Efficiency, Performance Improvement, and semantic and syntactic, an effort to help decision-makers conscious of parts of the DSS that they would not have used before, as well as operated reliability analysis. The domain of multiple REMS objectives and strategies to promote would be represented using ontologies, a method for semantics. When implementing new energy sources or scaling the energy system, AI provides the process with more dependability and versatility. Energy management can be regarded as a promise to use energy effectively and sustainably in an intelligent environment. From a range of disciplinary perspectives, we invite papers that rethinking renewable energy management using intelligent decision support systems overarching.
Dr. Muhammad Ibrahim
Prof. Dr. Habib Hamam
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. Energies is an international peer-reviewed open access semimonthly 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 2200 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.
- energy management
- intelligent decision support systems