A Method for Reducing the Instability of Negawatts Considering Changes in the Behavior of Consumers

Negawatt trading is expected to improve energy efficiency via the prediction of peak demands and power-saving requests. However, amount power saved by consumers not stable. The accurate making appropriate requests with respect saving are difficult obstacles that need be overcome in order attain useful negawatt processes. To increase accuracy predictions requests, earlier research suggests some methods or linear problems. On other hand, investigation factors affect consumption important for correcting current instability. In this study, weather changes including temperature, time passing, consciousness considered as against electricity demands. paper, we propose a behavioral model using data. By model, effectiveness suggested improving uncertainty negawatts caused investigated.