Development of a Model for Predicting Air-conditioning Power Consumption in Offices using Machine Learning Models

－1st Report: Learning Model in Offices－

Abstract

Renewable energies are increasingly being used in order to achieve Carbon Neutrality. Energy supply and demand adjustment is getting more and more important recently. Predicting energy consumptions of each equipment is important for efficient operational management. In particular, air-conditioning equipment (HVAC) accounts for a large proportion of power consumption. This paper reports on the results of developing machine-learning based models to solve the problem of estimating the hourly power consumption of office HVAC equipment in office buildings.