Short-Term Load Forecasting Based on DBO-LSTM Model-Reference-Cited by-同舟云学术

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Short-Term Load Forecasting Based on DBO-LSTM Model

Published:2023-07-28 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Energy Engineering and Power Systems (EEPS)
language:
Short-container-title:

Author:

Zhang Yuhao¹,Ma Tianyi¹,Li Ting¹,Wang Yilin¹

Affiliation:

1. Beijing Institute of Graphic Communication, Mechanic and Electronic Engineering,Daxing, Beijing,China

Funder

Beijing Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256662/10256687/10257027.pdf?arnumber=10257027

Reference13 articles.

1. Short-Term Load Forecasting Model of Power System Based on Deep Ridgelet Neural Network;yue;Proceedings of the CSU-EPSA,2020

2. Short-term photovoltaic power forecasting based on MIE-LSTM;ji;Power system protection and control,2020

3. Dung beetle optimizer: a new meta-heuristic algorithm for global optimization;xue;The journal of Super Computing,2022

4. A Short-term Load Forecasting Method Based on Improved Long Short Term Memory;lan;New industrialization,2019

5. Magnetic integrated LCL filter design for a 2.5 kW three-phase grid-connected inverter with double closed-loop control

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1. WITHDRAWN: Short-term Load Forecasting Method Based on LSTM Optimized by the Hybrid Dung Bettle Optimization Algorithm;Results in Engineering;2024-08

2. Research on the Fiber-to-the-Room Network Traffic Prediction Method Based on Crested Porcupine Optimizer Optimization;Applied Sciences;2024-06-03

3. 3S optimizer: a new meta‑heuristic global optimization algorithm;Evolutionary Intelligence;2024-05-21

4. An ensemble model for monthly runoff prediction using least squares support vector machine based on variational modal decomposition with dung beetle optimization algorithm and error correction strategy;Journal of Hydrology;2024-02

5. NLOS Identification for UWB Positioning Based on IDBO and Convolutional Neural Networks;IEEE Access;2023

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