Forecasting Airport Building Electricity Demand on the Basis of Flight Schedule Information for Demand Response Applications

摘要: Airports are poised to take advantage of demand response (DR) opportunities because their large energy footprint and continuous operations. To develop an baseline model (i.e., the estimate expected load without curtailment), airports need special attention continually changing operations occupant levels, which result from varying flight schedules. However, accurate is also important for determining fair incentives assessing DR strategies. This study, therefore, aimed airport-specific models by incorporating departure arrival information. Therefore, paper first analyzes relationships between airport power potential predictors, such as time day, week, outside temperature, number passengers on departing arriving flights at a case study airport. Second, it develops piecewise linear regression with combinations variables compares models’ prediction performance. The ...