Wind Power Pattern Prediction in time series measuremnt data for wind energy prediction modelling using LSTM-GA networks-Reference-Cited by-同舟云学术

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Wind Power Pattern Prediction in time series measuremnt data for wind energy prediction modelling using LSTM-GA networks

Published:2019-07 Issue: Volume: Page:
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Container-title:2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
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Author:

Vaitheeswaran Sowmya Sevoor,Ventrapragada Varun Raj

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8932651/8944341/08944827.pdf?arnumber=8944827

Cited by 9 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. Metaheuristic Techniques Optimised LSTM Network for Improved Weather Prediction;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

2. Prediction-based peer-to-peer energy transaction market design for smart grids;Engineering Applications of Artificial Intelligence;2023-11

3. Predicting Energy Generation in Large Wind Farms: A Data-Driven Study with Open Data and Machine Learning;Inventions;2023-10-11

4. A survey of long short term memory and its associated models in sustainable wind energy predictive analytics;Artificial Intelligence Review;2023-07-19

5. Peer to Peer Energy Transaction Market Prediction in Smart Grids using Blockchain and LSTM;2023 IEEE International Conference on Consumer Electronics (ICCE);2023-01-06

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