Abstract
Global energy consumption increases every year for the last centennial and it has only temporarily been slowed down in 2020 due to Covid-19 lockdowns. The goal of reducing energy consumption, without deteriorating the quality of life of citizens in a smart city seems nowadays to be both appealing and urgent. This will not only contribute in financial relief of citizens and countries, but it will also ease the global warming effect as well, because energy production requires fossil fuel which are CO2 producers. A micro grid is a self-sufficient energy system and the scope of a microgrid is to efficiently combine the production and consumption of electrical energy. Edge Intelligence (E.I.) is a process where data is aggregated and analyzed locally. Edge Intelligence enables machines to make decisions on the locally collected data, instead of sending it to a centralized cloud or on-prem server. Theories and methods of Fuzzy Cognitive Maps (FCM) can be used on Edge Intelligence. Simulations are performed with encouraging results in obtaining energy savings of a micro grid environment are presented.