Analysis and Evaluation of Five Short-Term Load Forecasting Techniques-Reference-Cited by-同舟云学术

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Analysis and Evaluation of Five Short-Term Load Forecasting Techniques

Published:1989 Issue:11 Volume:9 Page:42-43
ISSN:0272-1724
Container-title:IEEE Power Engineering Review
language:
Short-container-title:IEEE Power Eng. Rev.

Author:

Moghram Ibrahim,Rahman Saifur

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx5/39/2849/04310383.pdf?arnumber=4310383

Cited by 12 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

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2. Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme;Energy Economics;2023-01

3. A Genetic Algorithm Based Solution for the BESS Sizing to Make Wind Energy Systems Dispatchable;2022 IEEE 10th Power India International Conference (PIICON);2022-11-25

4. Review and Analysis of Machine Learning Based Techniques for Load Forecasting in Smart Grid System;Hybrid Intelligent Approaches for Smart Energy;2022-09-28

5. Hybrid Deep Learning Applied on Saudi Smart Grids for Short-Term Load Forecasting;Mathematics;2022-07-28

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