Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Adam Stecyk and Ireneusz Miciuła ()
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Adam Stecyk: Institute of Spatial Management and Socio-Economic Geography, University of Szczecin, 70-453 Szczecin, Poland
Ireneusz Miciuła: Institute of Economics and Finance, University of Szczecin, 70-453 Szczecin, Poland

Energies, 2023, vol. 16, issue 21, 1-13

Abstract: This article shows the evaluation of the Integrated Real-time Energy Management Framework (IREMF), a cutting-edge system designed to develop energy management practices. The framework leverages real-time data collection, advanced visualization techniques, and fuzzy logic to optimize energy consumption patterns. To assess the performance and importance of each layer and main factor within IREMF, we employ a multi-step methodology. First, the Fuzzy Delphi Method is utilized to harness expert insights and collective intelligence, providing a holistic understanding of the framework’s functionality. Researchers used a fuzzy analytic hierarchy process (AHP) to determine the relative importance of each component of the energy system (first stage). This careful evaluation process helps ensure that resources are allocated effectively and that strategic decisions are made based on sound data. The findings of the study not only improve our understanding of the capabilities of the IREMF platform but also pave the way for future developments in energy system management. The study highlights the critical role of real-time data, visualization, fuzzy logic, and advanced decision-making methods in shaping a sustainable energy future.

Keywords: energy; real-time data; fuzzy logic; IREMF; DELPHI; AHP (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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