A Hybrid Deep Learning Model with Evolutionary Algorithm for Short-Term Load Forecasting-Reference-Cited by-同舟云学术

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A Hybrid Deep Learning Model with Evolutionary Algorithm for Short-Term Load Forecasting

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)
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Author:

Mamun Abdullah Al,Hoq Muntasir,Hossain Eklas,Bayindir Ramazan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8974144/8996503/08996550.pdf?arnumber=8996550

Cited by 10 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. Comparative Analysis between Intelligent Machine Committees and Hybrid Deep Learning with Genetic Algorithms in Energy Sector Forecasting: A Case Study on Electricity Price and Wind Speed in the Brazilian Market;Energies;2024-02-09

2. A Genetic Algorithm Accelerator Based on Memristive Crossbar Array for Massively Parallel Computation;IEEE Access;2024

3. SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. Comparative Analysis of Residential Load Forecasting with Different Levels of Aggregation;ITISE 2022;2022-06-21

5. An Integrated AMPSO-CLSTM Model for Photovoltaic Power Generation Prediction;Frontiers in Energy Research;2022-03-21

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