Electricity Demand Forecasting Using ML-Reference-Cited by-同舟云学术

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Electricity Demand Forecasting Using ML

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN)
language:
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Author:

Daniel Raj J. Joshua¹,R Mohan Das.¹,S Vinod Kumar.¹,M Jayanthi²,A Sujin Jose.³,V Tejas.¹

Affiliation:

1. New Horizon College of Engineering,Electrical and Electronics Engineering,Bangalore,India

2. New Horizon College of Engineering,Electronics and Communication Engineering,Bangalore,India

3. New Horizon College of Engineering,Automobile Engineering,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10265860/10265772/10265883.pdf?arnumber=10265883

Reference15 articles.

1. Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

2. Machine learning-based electricity load forecast for the agriculture sector;sharma;International Journal of Software Innovation (IJSI),2023

3. Machine learning algorithms to forecast air quality: a survey

4. DEA and Machine Learning for Performance Prediction

5. Forecasting Electrical Demand for the Residential Sector at the National Level Using Deep Learning

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