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An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises

Power Engineering Department, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania
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Appl. Sci. 2020, 10(10), 3505; https://doi.org/10.3390/app10103505
Received: 27 April 2020 / Revised: 11 May 2020 / Accepted: 15 May 2020 / Published: 19 May 2020
(This article belongs to the Section Energy Science and Technology)
The paper presents a new vision on the energy consumption management in the case of the small and medium enterprises (SMEs), integrated into an advanced decision support platform, with technical and economic benefits on increasing the energy efficiency, with four modules for database management, profiling, forecasting, and production scheduling. Inside each module, artificial intelligence and data mining techniques were proposed to remove the uncertainties regarding the dynamic of technological flows. Thus, the data management module includes the data mining techniques, that extract the technical details on the energy consumption needed in the development of production scheduling strategies, the profiling module uses an original approach based on clustering techniques to determine the typical energy consumption profiles required in the optimal planning of the activities, the forecasting module contains a new approach based on an expert system to forecast the total energy consumption of the SMEs, and production scheduling module integrates a heuristic optimization method to obtain the optimal solutions in flattening the energy consumption profile. The testing was done for a small enterprise from Romania, belonging to the domain of trade and repair of vehicles. The obtained results highlighted the advantages of the proposed decision support platform on the decrease in the intensity of energy consumption per unit of product, reduction of the purchase costs, and modification of the impact for which energy bills have on the operational costs. View Full-Text
Keywords: energy management; energy efficiency; small and medium enterprises; artificial intelligence techniques; decision support platform energy management; energy efficiency; small and medium enterprises; artificial intelligence techniques; decision support platform
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MDPI and ACS Style

Grigoraș, G.; Neagu, B.-C. An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises. Appl. Sci. 2020, 10, 3505. https://doi.org/10.3390/app10103505

AMA Style

Grigoraș G, Neagu B-C. An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises. Applied Sciences. 2020; 10(10):3505. https://doi.org/10.3390/app10103505

Chicago/Turabian Style

Grigoraș, Gheorghe, and Bogdan-Constantin Neagu. 2020. "An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises" Applied Sciences 10, no. 10: 3505. https://doi.org/10.3390/app10103505

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