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ThinkMind // ALLSENSORS 2019, The Fourth International Conference on Advances in Sensors, Actuators, Metering and Sensing // View article allsensors_2019_4_30_70068


A Study on Prediction Model of Energy Consumption for Demand Response Service of Wastewater Treatment Facility

Authors:
Byungmin Kim
Eunggi Lee
Kiwoong Kwon
Jungmee Yun

Keywords: Demand Response; Energy Consumption Prediction; Neural Network; Power Measurement System; Wastewater Treatment Facility

Abstract:
Recently, high-power-demanding wastewater treatment processes have been introduced in the wastewater treatment facilities according to the strict water quality standard of the effluent water. The influent water quality of the wastewater treatment facilities differs according to environmental factors. However, the processes of the wastewater treatment facilities are operated with the maximum load to meet the effluent water quality standard. The wastewater treatment facilities can be utilized as a demand response resource by analyzing the wastewater treatment process and power usage patterns according to the influent water quality. In this study, we describe the power measurement system, the power usage pattern, and the power consumption prediction model of the wastewater treatment facility for the application of demand response service.

Pages: 41 to 42

Copyright: Copyright (c) IARIA, 2019

Publication date: February 24, 2019

Published in: conference

ISSN: 2519-836X

ISBN: 978-1-61208-691-0

Location: Athens, Greece

Dates: from February 24, 2019 to February 28, 2019

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