Sustainable supply chain management of electric grid power consumption load for smart cities based on second-order exponential smoothing algorithm THEODOROS ANAGNOSTOPOULOS 1,* , FAIDON KOMISOPOULOS 1 , ANDREAS VLACHOS 2 , ALKINOOS PSARRAS 1 , IOANNIS SALMON 1 , KLIMIS NTALIANIS 1 1 Department of Business Administration University of West Attica Ancient Olive Grove Campus 250 Thivon & P. Ralli Str, Egaleo Postal Code 12241, Athens GREECE 2 School of Social Sciences Hellenic Open University Aristotelous 18, Patra 263 35 GREECE Abstract: - Electric grid power consumption load is one of the fundamental areas that need to be faced to provide a sustainable and green ecosystem in smart cities. Consumption load as well as supply and availability of electricity to suppliers and customers is a major issue to be faced to have a balanced smart city power grid infrastructure. Balancing in this case is assumed as a well-designed supply chain management system to be applied in the Smart City (SC) of Athens, Greece. Core of such a system is the knowledge of electric power consumption load per weekly basis of a year, that is the granularity of the proposed system is one week of the system’s operation. In this paper, focus is given on the electric load forecast component of an Energy Management System (EMS) such as the Independent Power Transmission Operator (ITPO) of Greece. Concretely, stochastic data of electric energy consumption load are used to predict the demand or offering of electric power in the future. This is achieved by incorporating a machine learning second-order exponential smoothing algorithm. Such an algorithm is able to speculate near or far in the future power consumption load thus providing a promising parameter to predict smart city needs for electric power in the future. Adopted system is evaluated by the evaluation metric of Normalized Root Mean Square Error (NRMSE), which assures that the system can be used for future predictions of electric power consumption load in smart cities. Key-Words: sustainable management, supply chain, electric grid, exponential smoothing, smart cities Received: August 25, 2021. Revised: October 20, 2022. Accepted: November 17, 2022. Published: December 9, 2022. 1 Introduction Sustainable and green energy is an area of great importance in smart cities in modern societies around the globe, [1]. Electric energy is one area of such high importance that needs to be treated rationally to become environmentally friendly, [2]. Electric grid is used to transfer electric energy in every place of a smart city to provide advanced wellbeing to citizens of the city, [3]. However, electric power has a disadvantage, that it cannot be stored in huge quantities, [4]. For this purpose, it is fundamental that the city, such as the Smart City (SC) of Athens in Greece, should produce that amount of electric energy that covers its needs without great variance in the produced energy, [5]. Specifically, production should be confronted between two thresholds, that is production of less electric power and production of more electric power than that the population of the city can consume, [6]. Less production leads to buying WSEAS TRANSACTIONS on SYSTEMS DOI: 10.37394/23202.2022.21.27 Theodoros Anagnostopoulos, Faidon Komisopoulos, Andreas Vlachos, Alkinoos Psarras, Ioannis Salmon, Klimis Ntalianis E-ISSN: 2224-2678 247 Volume 21, 2022