Modelling and forecasting of electrical consumption for demand response applications

Abstract

The emergence of concepts, policies and applications like smart grid, energy communities, carbon footprint reduction, energy-efficient consumption, demand response, demand side management enables the development and implementation of algorithms and procedures dedicated to the analysis of domestic energy consumption. In this paper a method of modelling and forecasting is presented and an optimization of electric energy consumption using machine learning and a cost function based on local peaks identified in load curves is proposed.