Building Energy Flexibility and Flexible Scheduling Potential Based on the Characteristics of Energy Use Behaviour

In order to investigate the influence of energy consumers' behavior on the flexible load regulation potential of residential buildings, the residents' energy use behavior patterns was obtained through questionnaires, the K-means clustering algorithm was used to classify the energy use patterns, the evaluation indexes were established and then combined with simulation to explore the optimal scheduling potentials of various types of energy use patterns. The results show that when the constraints of “peak and valley tariff policy”, the objective of minimum electricity cost and the percentage of electricity cost reduction are used as the evaluation indexes for optimal scheduling of households with various energy use patterns, the households with the highest potential are those with the B2 pattern during winter working days, and the electricity cost can be reduced by 33% after the load flexible scheduling.