Improving the Method of Short-term Forecasting of Electric Load in Distribution Networks using Wavelet transform combined with Ridgelet Neural Network Optimized by Self-adapted Kho-Kho Optimization Algorithm-Reference-Cited by-同舟云学术

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Improving the Method of Short-term Forecasting of Electric Load in Distribution Networks using Wavelet transform combined with Ridgelet Neural Network Optimized by Self-adapted Kho-Kho Optimization Algorithm

Published:2024-04 Issue:7 Volume:10 Page:e28381
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Wang Yaoying,Sun Shudong,Fathi Gholamreza,Eslami Mahdiyeh

Publisher

Elsevier BV

Reference34 articles.

1. Evaluation of the operating modes of the urban electric networks in dushanbe city, Tajikistan;Tavarov;Inventions,2022

2. Methodology for counter torque, power loss, and frictional heat for brush seals under eccentric transients;Duran;Tribol. Trans.,2023

3. Optimal modeling of combined cooling, heating, and power systems using developed African Vulture Optimization: a case study in watersport complex;Chen;Energy Sources, Part A Recovery, Util. Environ. Eff.,2022

4. Techno-economic strategy for the load dispatch and power flow in power grids using peafowl optimization algorithm;Ali;Energies,2023

5. Evaluating the efficiency of CCHP systems in Xinjiang Uygur Autonomous Region: an optimal strategy based on improved mother optimization algorithm;Li;Case Stud. Therm. Eng.,2024

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