[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.13160/ricns.2019.12.1.20

Planning ESS Managemt Pattern Algorithm for Saving Energy Through Predicting the Amount of Photovoltaic Generation

Shin, Seung-Uk (Weisseti Co., Ltd.)
Park, Jeong-Min (Department of Automatic System, Chosun University College of Science & Technology)
Moon, Eun-A (Department of Electricity, Chosun University College of Science & Technology)

Publication Information

Journal of Integrative Natural Science / v.12, no.1, 2019 , pp. 20-23 More about this Journal

Abstract

Demand response is usually operated through using the power rates and incentives. Demand management based on power charges is the most rational and efficient demand management method, and such methods include rolling base charges with peak time, sliding scaling charges depending on time, sliding scaling charges depending on seasons, and nighttime power charges. Search for other methods to stimulate resources on demand by actively deriving the demand reaction of loads to increase the energy efficiency of loads. In this paper, ESS algorithm for saving energy based on predicting the amount of solar power generation that can be used for buildings with small loads not under electrical grid.

Keywords

Demand Forecast; Energy Management System; Operating Pattern; Photovoltaic; Prediction of Load Data per Hour;

Citations & Related Records

Reference

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