Household load forecasting

Abstract

Forecasting is one of the few requirements for a successful energy management system applications. In a data-driven analytics application such as forecasting, data pre-processing, manual or automatic data features extraction and machine learning techniques are some of the main components requires in a data science related works. This project aims to develop a AI method for electricity load forecasting at the household level.