Medium-term Energy Demand Analysis using Machine Learning: A Case Study on a Residential Apartment in a Divisional City of Bangladesh

Abstract

Being the innovation, machine learning has indisputably dominated energy consumption prediction from home to the industry all over the world. Many approaches have been acknowledged throughout the past decade to upgrade the energy demand which is not an alien to Bangladesh. Moreover, the energy consumption has been classified according to the convenience for both builders as well as end-users. As a consequence, such analysis has led to short, medium, and long-term consumption concept in forecasting of energy. This paper explores the energy demand analysis using conventional machine learning models for medium-term energy consumption. It also reviews the detail possibilities of energy consumption along with challenges. A forecast of power consumption based on a dataset of a residential apartment for a year has been presented with related parameters and results. Even an anticipated energy management plan has been discussed for Bangladesh.