Bayesian Network-Based HVAC Energy Consumption Prediction Using Improved Fourier Series Decomposition (OR-16-C078)

Accurate energy performance prediction of HVAC system plays a significant role for intelligent building operations to improve energy efficiency and reduce energy consumption in buildings. In modern commercial and residential buildings, large amounts of raw data, including electric metering data, are monitored, trended and saved in, for example, Building Automation System (BAS). Due to the complexity of building mechanical and electrical system and the cost, practically speaking, it is impossible to have sensors/meters to monitor the building at a fine granularity. Building total energy consumption (e.g., total electricity consumption) is one of the most commonly available metering data.