Energy demand prediction with time-series machine learning for Shenzhen Civic Center
Building energy management has been a hot topic nowadays as of its importance in reducing energy wastage and carbon emissions. However, the performance of building energy consumption prediction has been stagnant due to problems such as low prediction accuracy.