[HTML][HTML] Deep reinforcement learning for home energy management system control
The use of machine learning techniques has been proven to be a viable solution for smart
home energy management. These techniques autonomously control heating and domestic …
home energy management. These techniques autonomously control heating and domestic …
Home energy recommendation system (hers): A deep reinforcement learning method based on residents' feedback and activity
Smart home appliances can take command and act intelligently, making them suitable for
implementing optimization techniques. Artificial intelligence (AI) based control of these smart …
implementing optimization techniques. Artificial intelligence (AI) based control of these smart …
Smart home's energy management through a clustering-based reinforcement learning approach
Smart homes that contain renewable energy sources, storage systems, and controllable
loads will be key components of the future smart grid. In this article, we develop a …
loads will be key components of the future smart grid. In this article, we develop a …
Optimization strategy based on deep reinforcement learning for home energy management
Y Liu, D Zhang, HB Gooi - CSEE Journal of Power and Energy …, 2020 - ieeexplore.ieee.org
With the development of a smart grid and smart home, massive amounts of data can be
made available, providing the basis for algorithm training in artificial intelligence …
made available, providing the basis for algorithm training in artificial intelligence …
Mixed deep reinforcement learning considering discrete-continuous hybrid action space for smart home energy management
This paper develops deep reinforcement learning (DRL) algorithms for optimizing the
operation of home energy system which consists of photovoltaic (PV) panels, battery energy …
operation of home energy system which consists of photovoltaic (PV) panels, battery energy …
Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
In this short communication, a data-driven deep reinforcement learning (deep RL) method is
applied to minimize HVAC users' energy consumption costs while maintaining users' …
applied to minimize HVAC users' energy consumption costs while maintaining users' …
DRL-HEMS: Deep reinforcement learning agent for demand response in home energy management systems considering customers and operators perspectives
AA Amer, K Shaban… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the smart grid and smart homes development, different data are made available,
providing a source for training algorithms, such as deep reinforcement learning (DRL), in …
providing a source for training algorithms, such as deep reinforcement learning (DRL), in …
Gigawatt-hour scale savings on a budget of zero: Deep reinforcement learning based optimal control of hot water systems
Energy consumption for hot water production is a major draw in high efficiency buildings.
Optimizing this has typically been approached from a thermodynamics perspective …
Optimizing this has typically been approached from a thermodynamics perspective …
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings
Abstract In this work, Deep Reinforcement Learning (DRL) is implemented to control the
supply water temperature setpoint to terminal units of a heating system. The experiment was …
supply water temperature setpoint to terminal units of a heating system. The experiment was …
[HTML][HTML] A reinforcement learning approach to home energy management for modulating heat pumps and photovoltaic systems
L Langer, T Volling - Applied Energy, 2022 - Elsevier
Buildings are one of the main drivers of global energy consumption and CO 2 emissions.
Efficient energy management systems will have to integrate renewable energy sources with …
Efficient energy management systems will have to integrate renewable energy sources with …