A Design of Energy Demand / Supply Prediction Model Using Deep Learning for Zero Energy Town Based on Measured Data

As energy conservation is required to cope with the crisis of resources and the environment, the expansion of the distribution of zero-energy buildings is being pushed forward. Efficient design and operation of zero-energy buildings requires accurate diagnosis and analysis of energy demand/supply, and energy big data and deep-learning techniques are being used to this end. Based on the actual data, the Deep Learning Energy Demand Prediction Model for Zero Energy Town was designed, based on which the research is expanded to predict the supply of new and renewable energy to increase the efficiency of the design and operation of zero-energy buildings.