Exogenous Data for Load Forecasting: A Review-Reference-Cited by-同舟云学术

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Exogenous Data for Load Forecasting: A Review

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Joint Conference on Computational Intelligence
language:
Short-container-title:

Author:

Christen Ramón¹,Mazzola Luca¹,Denzler Alexander¹,Portmann Edy²

Affiliation:

1. Information Technology, HSLU - Lucerne University of Applied Sciences and Arts, Suurstoffi 1, 6343 Rotkreuz, Switzerland, --- Select a Country ---

2. Human-IST Institute, University of Fribourg, Bd de Pérolles 90, 1700 Fribourg, Switzerland, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 8 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. Boosting short term electric load forecasting of high & medium voltage substations with visibility graphs and graph neural networks;Sustainable Energy, Grids and Networks;2024-06

2. Forecasting sustainable development goals scores by 2030 using machine learning models;Sustainable Development;2024-05-15

3. Optimized hybrid ensemble learning approaches applied to very short-term load forecasting;International Journal of Electrical Power & Energy Systems;2024-01

4. CNN-N-BEATS: Novel Hybrid Model for Time-Series Forecasting;Communications in Computer and Information Science;2024

5. Improving Accuracy of Machine Learning Based Short-Term Load Forecasting Models with Correlation Analysis and Feature Engineering;2023 IEEE 24th International Conference of Young Professionals in Electron Devices and Materials (EDM);2023-06-29

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