Forecasting Electrical Demand for the Residential Sector at the National Level Using Deep Learning-Reference-Cited by-同舟云学术

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

Published:2021-09-24 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)
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Author:

Dharmoju Pavan Kumar,Yeluripati Karthik,Guduri Jahnavi,Palle Kowstubha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9670812/9670893/09670956.pdf?arnumber=9670956

Reference32 articles.

1. Residential Electricity Prices, Eia.Gov, 2021,0

2. Consumer Price Index for Electricity, Consumer Price Index for All Urban Consumers: Electricity in U.S. City Average. 2021. Fred.Stlouisfed. Org,0

3. Cloud Cover, Crudata.Uea.Ac. Uk, 2021,0

4. Modeling of end-use energy consumption in the residential sector: A review of modeling techniques;swan;Renew Sustain Energy Rev,2009

Cited by 2 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. Maximum Demand Forecasting in the Delhi Region using Machine Learning;2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM);2023-11-28

2. Electricity Demand Forecasting Using ML;2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN);2023-06

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