A New Hybrid Model for Short-Term Electricity Load Forecasting-Reference-Cited by-同舟云学术

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A New Hybrid Model for Short-Term Electricity Load Forecasting

Published:2019 Issue: Volume:7 Page:125413-125423
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Haq Md. Rashedul,Ni Zhen^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08811512.pdf?arnumber=8811512

Cited by 69 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. A comprehensive survey on load forecasting hybrid models: Navigating the Futuristic demand response patterns through experts and intelligent systems;Results in Engineering;2024-09

2. Comparison of Retraining Schedules in Ensemble Models for Enhanced Day-Ahead Electricity Net-Demand Predictions;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

3. Energy Load Forecasting Techniques in Smart Grids: A Cross-Country Comparative Analysis;Energies;2024-05-07

4. Achieving grid resilience through energy storage and model reference adaptive control for effective active power voltage regulation;Energy Conversion and Management: X;2024-04

5. Short‐term electric load forecasting based on empirical wavelet transform and temporal convolutional network;IET Generation, Transmission & Distribution;2024-03-29

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