Optimal regression tree based rule discovery for short-term load forecasting-Reference-Cited by-同舟云学术

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Optimal regression tree based rule discovery for short-term load forecasting

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Container-title:2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)
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Author:

Mori H.,Kosemura N.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/7330/19809/00916878.pdf?arnumber=916878

Cited by 24 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. Short-Term Load Forecasting Employing Recurrent Neural Networks;2024 International Conference on Smart Applications, Communications and Networking (SmartNets);2024-05-28

2. Short-Term Load Foresting Using Combination of Linear and Non-Linear Models;IEEE Access;2024

3. An Ensemble Deep-Learning-Based Model for Hour-Ahead Load Forecasting with a Feature Selection Approach: A Comparative Study with State-of-the-Art Methods;Energies;2022-12-21

4. A hybrid approach using AHP–TOPSIS methods for ranking of soft computing techniques based on their attributes for prediction of solar radiation;Environmental Challenges;2022-12

5. In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance;2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA);2022-07-18

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