Electricity Demand Forecasting for Daily Peak Load with Seasonality and Temperature Effects-Reference-Cited by-同舟云学术

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Electricity Demand Forecasting for Daily Peak Load with Seasonality and Temperature Effects

Published:2014-10-31 Issue:5 Volume:27 Page:843-853
ISSN:1225-066X
Container-title:Korean Journal of Applied Statistics
language:en
Short-container-title:Korean Journal of Applied Statistics

Author:

Jung Sang-Wook,Kim Sahm

Publisher

The Korean Statistical Society

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

http://ocean.kisti.re.kr/downfile/crosscheck/kss/JAKO201433752159638.pdf

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Time-series clustering and forecasting household electricity demand using smart meter data;Energy Reports;2023-12

2. Short-Term Electric Load Prediction in Smart Grid using Multi-Output Gaussian Processes Regression;2023 IEEE Kansas Power and Energy Conference (KPEC);2023-04-27

3. Regression-Based Methods for Daily Peak Load Forecasting in South Korea;Sustainability;2022-03-28

4. National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?;Energy;2022-01

5. Short term electricity load forecasting for institutional buildings;Energy Reports;2019-11

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