Load forecasting on demand side by multi-regression model for operation of battery energy storage system

Yusuke Hida*, Ryuichi Yokoyama, Kenji Iba, Kouji Tanaka, Kuniaki Yabe

*この研究の対応する著者

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

The load forecasting of the electric power has been studied extensively in the world. In many cases, the load forecast of the electric power systems is studied in the electric power company rather than demand side. The load forecast in the demand side is affected by some specific factors that are not measured and expected in advance. Although the factors/parameters are limited, it was difficult to build standard models that are applicable to various demand sides. In the era of deregulation, however, the management of customers' load became more important. Moreover, the demand forecast with high accuracy is necessary for the proper operation of BESS (battery energy storage system) such as NAS battery. In this paper a load forecasting technique using multi-regression model is proposed. Based on five years' records of the load in a university campus, the load for tomorrow can be forecasted. Numerical tests demonstrate the robustness and accuracy of the proposed technique.

本文言語English
ホスト出版物のタイトルProceedings of the Universities Power Engineering Conference
出版ステータスPublished - 2009
外部発表はい
イベント44th International Universities Power Engineering Conference, UPEC2009 - Glasgow
継続期間: 2009 9月 12009 9月 4

Other

Other44th International Universities Power Engineering Conference, UPEC2009
CityGlasgow
Period09/9/109/9/4

ASJC Scopus subject areas

  • エネルギー工学および電力技術

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