| Title |
Load Forecasting and ESS Scheduling Considering the Load Pattern of Building |
| Authors |
황혜미(Hwang, Hye-Mi) ; 박종배(Park, Jong-Bae) ; 이성희(Lee, Sung-Hee) ; 노재형(Roh, Jae Hyung) ; 박용기(Park, Yong-Gi) |
| DOI |
https://doi.org/10.5370/KIEE.2016.65.9.1486 |
| Keywords |
Building load forecasting ; Load pattern ; Forecasting correction ; ESS scheduling |
| Abstract |
This study presents the electrical load forecasting and error correction method using a real building load pattern, and the way to manage the energy storage system with forecasting results for economical load operation. To make a unique pattern of target load, we performed the Hierarchical clustering that is one of the data mining techniques, defined load pattern(group) and forecasted the demand load according to the clustering result of electrical load through the previous study. In this paper, we propose the new reference demand for improving a predictive accuracy of load demand forecasting. In addition we study an error correction method for response of load events in demand load forecasting, and verify the effects of proposed correction method through EMS scheduling simulation with load forecasting correction. |