Energy Consumption Forecasting in Home Energy Management System using Deep Learning Techniques
Author:
Affiliation:
1. Vellore Institute of Technology,School of Electrical Engineering,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10038981/10039721/10039788.pdf?arnumber=10039788
Reference16 articles.
1. A Review of Deep Learning with Recurrent Neural Network
2. Load prediction method for heat and electricity demand in buildings for the purpose of planning for mixed energy distribution systems
3. A review on deep neural network for computer network traffic classification;haque,2022
4. A LSTM-based deep learning method with application to voltage dip classification
5. Energy demand prediction using GMDH networks
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