A Short-Term Load Forecasting Model Based on Self-Adaptive Momentum Factor and Wavelet Neural Network in Smart Grid-Reference-Cited by-同舟云学术

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A Short-Term Load Forecasting Model Based on Self-Adaptive Momentum Factor and Wavelet Neural Network in Smart Grid

Published:2022 Issue: Volume:10 Page:77587-77602
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

ZulfiqAr Muhammad¹^ORCID,Kamran Muhammad²,Rasheed Muhammad Babar³^ORCID,Alquthami Thamer⁴^ORCID,Milyani Ahmad H.⁴^ORCID

Affiliation:

1. Department of Telecommunication Systems, Bahauddin Zakariya University, Multan, Pakistan

2. Department of Electrical Engineering, University of Engineering and Technology, Lahore, Lahore, Pakistan

3. Escuela Politécnica Superior, Universidad de Alcalá, Alcalá de Henares, Spain

4. Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

The Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, Saudi Arabia

European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie

GOT ENERGY TALENT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09832887.pdf?arnumber=9832887

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

1. A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks;Sustainability;2024-09-07

2. A Review of Machine Learning Approaches for Forecasting Aggregated Power Demand of Thermostatically Controlled Loads;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

3. Real-Time Load Forecasting and Adaptive Control in Smart Grids Using a Hybrid Neuro-Fuzzy Approach;Energies;2024-05-24

4. From Time-Series to Hybrid Models: Advancements in Short-Term Load Forecasting Embracing Smart Grid Paradigm;Applied Sciences;2024-05-23

5. Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning;IEEE Access;2024

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