그림 1 시계열 예측 기법 과정 Fig. 1 Time series forecasting process
그림 2 민감도 추정 방식 (더운 구간) Fig. 2 Sensitivity estimation process (Hot Section)
그림 3 기준 온도 설정 알고리즘 Fig. 3 Algorithm for Standard Temperature
그림 4 모델 1-6 CBL과 실적 비교 Fig. 4 CBL vs. actual value (Model 1-6)
그림 5 2016년 1월-8월 CBL 모델별 평균 오차율 Fig. 5 Average MAPE of each CBL model
그림 6 특정 가구의 2013-2016년 전력사용 패턴 Fig. 6 Monthly consumption pattern of a customer (2013~2016)
그림 7 CBL 모델별 오차율의 표준편차 Fig. 7 Standard deviation of error rate of CBL models
표 1 공용주택 단지 전력사용량 정보 Table 1 Electricity consumption of apartment complex
표 2 시계열 예측 기법 모델의 종류 Table 2 Types of time series prediction model
표 3 온도 조건이 보정되지 않은 시계열 모델 Table 3 Models without adjusting temperature condition
표 4 2016년 1월-8월 CBL 모델별 오차율 (%) Table 4 MAPE of each CBL model (2016 JAN-AUG)
표 5 공용주택 단지 연도별 전력사용량 평균값 Table 5 Annual average electricity consumption of apartment complex
References
- Amber Mahone, Ben Haley, "Overview of Residential Energy Feedback and Behavior-based Energy Efficiency", Energy+Environmental Economics, 2011.
- O. Siddiqui, "Guidebook for Energy Efficiency Program Evaluation, Measurement and Verification, EPRI Technical Update Report, 2008 Amber Mahone, Ben Haley, Overview of Residential Energy Feedback and Behavior-based Energy Efficiency", Energy+Environmental Economics, 2011.
- Michael Li, Carla Frisch, "Evaluation, Measurement, and Verification (EM&V) of Residential Behavior-Based Energy Efficiency Programs: Issues and Recommendations", DOE/EE-0734, 2012.
- Sung-Ill Kong, Young-Sik Baek, Kyung-Bin Song, Ji-Ho Park, "The Daily Peak Load Forecasting in Summer with the Sensitivity of Temperature", The Transaction of The Korean Institute of Electrical Engineers a 53A(6), 2004.6, 358-363, 2004.
- Jun-Young Ahn, Sang-Min Park, Chang-Bok Kim "A Study on Neural Network Model for Winter Electric Power Demand Prediction", Journal of Korean Institute of Information Technology, 15(9), 2017.9, 1-9, 2017. https://doi.org/10.14801/jkiit.2017.15.9.1
- James Stewart, Annika Todd. "Residential Behavior Protocol, The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures", NREL(National Renewable Energy Laboratory). SR-7A40-62497. 2015.
- Kyoungmi Lee, Hee-Jeong Baek, Chunho Cho, The Estimation of Base Temperature for Heating and Cooling Degree-Days for South Korea, Journal of Applied Meteorology And Climatology, 2013.
- Choi, Y., "Temporal and Spatial Variability of Heating and Cooling Degree Days in South Korea", 1973-2002. J. Korean Geogr. Soc., 40, 584-593. 2005.