Autors: Vacheva, G. I., Stanchev, P. A., Hinov, N. L. Title: Optimal Load Schedule in Medium Sized Enterprises Keywords: energy efficiency, energy management, intelligent algorithms, load scheduling, photovoltaic plant, small sized enterprisesAbstract: This report examines the optimization of load scheduling in medium-sized enterprises to improve energy efficiency and reduce costs. In the modern industrial environment, companies face the need to optimize their production processes while minimizing energy costs and environmental impact. The proposed approach uses load optimization methods that include intelligent algorithms and energy consumption forecasts, considering the constraints and requirements of enterprises. The results demonstrate significant potential for cost savings and sustainability through optimized load scheduling, improving both operational costs and overall productivity. References - P. Suanpang, P. Jamjuntr, P. Kaewyong, C. Niamsorn, K. Jermsittiparsert An Intelligent Recommendation for Intelligently Accessible Charging Stations: Electronic Vehicle Charging to Support a Sustainable Smart Tourism City. Sustainability. 2023; 15(1):455. https://doi.org/10.3390/su15010455
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| 2024 16th Electrical Engineering Faculty Conference, BulEF 2024, 2024, , https://doi.org/10.1109/BULEF63204.2024.10794925 |
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