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Short-term load forecasting considering improved cumulative effect of hourly temperature

  • Published:2022-04 Issue: Volume:205 Page:107746
  • ISSN:0378-7796
  • Container-title:Electric Power Systems Research
  • language:en
  • Short-container-title:Electric Power Systems Research

Author:

Wang Min,Yu Zixuan,Chen Yuan,Yang Xingang,Zhou Jian

Funder

State Grid Shanghai Municipal Electric Power Company

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference42 articles.

1. Forecasting of peak electricity demand in Mauritius using the non-homogeneous Gompertz diffusion process;Adam;Energy,2011

2. Short-term load forecasting based on a semi-parametric additive model;Zhang;IEEE Trans. Power Syst.,2011

3. Research on ARIMA model parallelization in load prediction based on R language;Mai;Power Syst. Technol.,2015

4. Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model;Fan;Appl. Energy,2018

5. Short-term power load forecasting method based on improved exponential smoothing grey model;Mi;Math. Probl. Eng.,2018

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1. Town gas daily load forecasting based on machine learning combinatorial algorithms: A case study in North China;Chinese Journal of Chemical Engineering;2024-08

2. Forecasting urban temperatures through crowdsourced data from Citizen Weather Stations;Urban Climate;2024-07

3. Cosine-Similarity Truncated Aggregation (Csta): A Hybrid Approach for Federated Stlf;2024

4. TASE-Net: A Short-Term Load Forecasting Model Based on Temperature Accumulation Sequence Effect;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

5. Electricity prediction model based on improved Gaussian process regression;2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML);2023-11-03
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