Volume - 4 | Issue - 4 | december 2022
DOI
10.36548/jeea.2022.4.001
Published
01 November, 2022
The power grid is amid the period of transformation. Consumers are interested in taking on a dual role as producers and consumers, or prosumers, in the operation of the electric grid. Renewable energy sources are increasingly being used in the residential sector, which has environmental advantages but also presents issues in terms of energy management. Misleading patterns may result, for instance from the energy usage of common household equipment. Energy prices are a further obstacle because of the potential for economic loss to the user as a result of inefficient systems or imbalanced energy management. The Home Energy Management Systems (HEMS) are a recent innovation that aim to address this issue. When properly implemented, the Smart HEMS uses a Hidden Markov Model-based method to calculate the likelihood that a given state of the house really exists. The suggested system makes use of GSM technology for outside communication and WiFi for interior data transfer. Tests show that the suggested approach and algorithm are effective, and that they have reduced the energy use by 18%.
KeywordsHome energy management optimization smart grid decision making Hidden Markov Model
