Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction

Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction

In recent years, home energy management systems (HEMS), which enable the automatic control of electrical equipment and home appliances, have been attracting attention as a method for saving electricity at home. HEMS achieve energy saving by visualizing energy consumption at home and controlling ener...

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Autores principales: Naoki Kodama, Taku Harada, Kazuteru Miyazaki
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Deep reinforcement learning
deep Q-network
Q-learning
energy management
energy cost
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/22b2c6543c9a4030818574b00c440a55
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https://doaj.org/article/22b2c6543c9a4030818574b00c440a55

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