[PDF][PDF] From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry.
The widespread adoption of Building Information Modeling (BIM) and the recent emergence
of Internet of Things (IoT) applications offer several new insights and decision-making …
of Internet of Things (IoT) applications offer several new insights and decision-making …
A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction
Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …
communication between energy suppliers and consumers. Demand side energy …
On-line building energy optimization using deep reinforcement learning
Unprecedented high volumes of data are becoming available with the growth of the
advanced metering infrastructure. These are expected to benefit planning and operation of …
advanced metering infrastructure. These are expected to benefit planning and operation of …
Deep reinforcement learning for continuous electric vehicles charging control with dynamic user behaviors
This paper aims to crack the individual EV charging scheduling problem considering the
dynamic user behaviors and the electricity price. The uncertainty of the EV charging demand …
dynamic user behaviors and the electricity price. The uncertainty of the EV charging demand …
Federated reinforcement learning for energy management of multiple smart homes with distributed energy resources
S Lee, DH Choi - IEEE Transactions on Industrial Informatics, 2020 - ieeexplore.ieee.org
This article proposesa novel federated reinforcement learning (FRL) approach for the
energy management of multiple smart homes with home appliances, a solar photovoltaic …
energy management of multiple smart homes with home appliances, a solar photovoltaic …
Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array
Energy management strategies are instrumental in the performance and economy of smart
homes integrating renewable energy and energy storage. This article focuses on stochastic …
homes integrating renewable energy and energy storage. This article focuses on stochastic …
Impacts of grid integration of solar PV and electric vehicle on grid stability, power quality and energy economics: A review
Grid integration of solar photovoltaic (PV) systems and electric vehicles (EVs) has been
increasing in recent years, mainly with two motivations: reducing energy cost, and reducing …
increasing in recent years, mainly with two motivations: reducing energy cost, and reducing …
[HTML][HTML] The key role of aggregators in the energy transition under the latest European regulatory framework
S Kerscher, P Arboleya - International Journal of Electrical Power & Energy …, 2022 - Elsevier
Future energy systems are reliant on the expansion and management of low-carbon
technologies in order to reach climate goals. Impact studies of high-penetration intermittent …
technologies in order to reach climate goals. Impact studies of high-penetration intermittent …
Local energy communities in service of sustainability and grid flexibility provision: Hierarchical management of shared energy storage
Local Energy Communities (LECs) can facilitate the transition towards sustainable and
clean energy system infrastructure. In this work, we construct a novel hierarchical energy …
clean energy system infrastructure. In this work, we construct a novel hierarchical energy …
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 …