Building construction based on video surveillance and deep reinforcement learning using smart grid power system
KM Alhamed, C Iwendi, AK Dutta, B Almutairi… - Computers and …, 2022 - Elsevier
New trendy neighborhoods require trimming scientific and technological methods and
equipment. Smart buildings (SB) use resources efficiently, save energy, and provide …
equipment. Smart buildings (SB) use resources efficiently, save energy, and provide …
On-policy learning-based deep reinforcement learning assessment for building control efficiency and stability
Deep reinforcement learning (DRL) has been considered as a potential solution to efficiently
control and manage building systems. However, broad assessment of DRL-based building …
control and manage building systems. However, broad assessment of DRL-based building …
Advanced building control via deep reinforcement learning
Building control is a challenging task, not least because of complex building dynamics ad
multiple control objectives that are often conflicting. To tackle this challenge, we explore an …
multiple control objectives that are often conflicting. To tackle this challenge, we explore an …
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
In recent years, advanced control strategies based on Deep Reinforcement Learning (DRL)
proved to be effective in optimizing the management of integrated energy systems in …
proved to be effective in optimizing the management of integrated energy systems in …
A review of deep reinforcement learning for smart building energy management
Global buildings account for about 30% of the total energy consumption and carbon
emission, raising severe energy and environmental concerns. Therefore, it is significant and …
emission, raising severe energy and environmental concerns. Therefore, it is significant and …
Optimal control of renewable energy in buildings using the machine learning method
L Wang, G Zhang, X Yin, H Zhang… - … Energy Technologies and …, 2022 - Elsevier
In this paper, the optimal control of renewable energy in the green building using a powerful
reinforcement learning control method is presented to minimize energy consumption and …
reinforcement learning control method is presented to minimize energy consumption and …
Autonomous building control using offline reinforcement learning
Artificial Intelligence (AI) powered building control allows deriving policies that are more
flexible and energy efficient than standard control. However, there are challenges …
flexible and energy efficient than standard control. However, there are challenges …
OCTOPUS: Deep reinforcement learning for holistic smart building control
Recently, significant efforts have been done to improve quality of comfort for commercial
buildings' users while also trying to reduce energy use and costs. Most of these efforts have …
buildings' users while also trying to reduce energy use and costs. Most of these efforts have …
Practical implementation and evaluation of deep reinforcement learning control for a radiant heating system
Deep reinforcement learning (DRL) has become a popular optimal control method in recent
years. This is mainly because DRL has the potential to solve the optimal control problems …
years. This is mainly because DRL has the potential to solve the optimal control problems …
A transfer learning approach to minimize reinforcement learning risks in energy optimization for automated and smart buildings
M Genkin, JJ McArthur - Energy and Buildings, 2024 - Elsevier
Energy optimization leveraging artificially intelligent algorithms has been proven effective.
However, when buildings are commissioned, there is no historical data that could be used to …
However, when buildings are commissioned, there is no historical data that could be used to …