Residential Power Load Prediction in Smart Cities using Machine Learning Approaches-Reference-Cited by-同舟云学术

Residential Power Load Prediction in Smart Cities using Machine Learning Approaches

Published:2022-02-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Business Analytics for Technology and Security (ICBATS)
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Author:

Alomoush Waleed¹,Khan Tahir Abbas²,Nadeem Mehwish³,Janjua Jamshaid Iqbal⁴,Saeed Anwaar⁵,Athar Atifa⁶

Affiliation:

1. Skyline University College,School of Information Technology,Sharjah,United Arab Emirates,P.O. Box 1797

2. NCBA&E,School of Computer Sciences,Lahore,Pakistan

3. UET,Al-Khawarizmi Institute of Computer Science,Lahore,Pakistan

4. University of Engineering & Technology (UET),Al-Khawarizmi Institute of Computer Science (KICS),Lahore,Pakistan

5. Virtual University,Islamaabad,Pakistan

6. COMSATS University,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9758922/9758923/09759024.pdf?arnumber=9759024

Reference30 articles.

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4. Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks

5. Modeling and predicting building's energy use with artificial neural networks: Methods and results

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