Enhancing building energy management: adaptive edge computing for optimized efficiency and inhabitant comfort
Nowadays, in contemporary building and energy management systems (BEMSs), the
predominant approach involves rule-based methodologies, typically employing supervised …
predominant approach involves rule-based methodologies, typically employing supervised …
Predictive Energy Management in Internet of Things: Optimization of Smart Buildings for Energy Efficiency.
DP Ruiz, RAD Vasquez… - Journal of Intelligent …, 2023 - search.ebscohost.com
As energy efficiency and sustainability become paramount in the face of growing
urbanization and environmental concerns, predictive energy management in smart buildings …
urbanization and environmental concerns, predictive energy management in smart buildings …
Real-time energy management in smart homes through deep reinforcement learning
J Aldahmashi, X Ma - IEEE Access, 2024 - ieeexplore.ieee.org
In light of the growing prevalence of distributed energy resources, energy storage systems
(ESs), and electric vehicles (EVs) at the residential scale, home energy management (HEM) …
(ESs), and electric vehicles (EVs) at the residential scale, home energy management (HEM) …
Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach
With global warming intensifying and resource conflicts escalating, the world is undergoing
a transformative shift toward sustainable practices and energy-efficient solutions. With more …
a transformative shift toward sustainable practices and energy-efficient solutions. With more …
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 …
Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
Buildings remain pivotal in global energy consumption, necessitating a focused approach
toward enhancing their energy efficiency to alleviate environmental impacts. Precise energy …
toward enhancing their energy efficiency to alleviate environmental impacts. Precise energy …
Data-driven edge computing: A fabric for intelligent building energy management systems
Building energy management systems (BEMSs) have been successfully adopted as key
control units for modern structures to maintain energy efficiency and provide a comfortable …
control units for modern structures to maintain energy efficiency and provide a comfortable …
Machine learning for smart and energy-efficient buildings
Energy consumption in buildings, both residential and commercial, accounts for
approximately 40% of all energy usage in the United States, and similar numbers are being …
approximately 40% of all energy usage in the United States, and similar numbers are being …
A human-centric & context-aware IoT framework for enhancing energy efficiency in buildings of public use
D Casado-Mansilla, I Moschos… - IEEE …, 2018 - ieeexplore.ieee.org
The GreenSoul project introduces an innovative energy-efficient platform which enhances
traditional public-use buildings with various technologies, such as smart adaptors, energy …
traditional public-use buildings with various technologies, such as smart adaptors, energy …
Systematic review on deep reinforcement learning-based energy management for different building types
A Shaqour, A Hagishima - Energies, 2022 - mdpi.com
Owing to the high energy demand of buildings, which accounted for 36% of the global share
in 2020, they are one of the core targets for energy-efficiency research and regulations …
in 2020, they are one of the core targets for energy-efficiency research and regulations …