Comparison of Recursive and Non-Recursive ANNs in Energy Consumption Forecasting in Buildings-Reference-Cited by-同舟云学术

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Comparison of Recursive and Non-Recursive ANNs in Energy Consumption Forecasting in Buildings

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Green Technologies Conference(GreenTech)
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Author:

Almalaq Abdulaziz,Edwards George

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8760354/8767117/08767130.pdf?arnumber=8767130

Cited by 15 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. Residential load forecasting by a PSO-tuned ANFIS2 method considering the COVID-19 influence;Frontiers in Energy Research;2024-01-08

2. Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption;Energy Informatics;2023-12-02

3. Explainable Artificial Intelligence for Definition of Inputs in Neural Networks and K-nearest Neighbors Forecasting of Electricity Consumption;2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE);2023-10-23

4. Investigation and Analysis of Power Load Density for Commercial Buildings;2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2023-07-07

5. Short-term electric load forecasting using an EMD-BI-LSTM approach for smart grid energy management system;Energy and Buildings;2023-06

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