Multi-objective optimization model of source–load–storage synergetic dispatch for a building energy management system based on TOU price demand response
The optimized operation of a building energy management system (BEMS) is of great
significance to its operation security, economy, and efficiency. This paper proposes a day …
significance to its operation security, economy, and efficiency. This paper proposes a day …
State-of-the-Art review of energy smart homes
With advancement in sensor, control, and communication technologies, homes can now be
equipped with more intelligent lighting, HVAC, entertainment, and safety/security systems …
equipped with more intelligent lighting, HVAC, entertainment, and safety/security systems …
Smart energy for smart built environment: A review for combined objectives of affordable sustainable green
Y Su - Sustainable Cities and Society, 2020 - Elsevier
With recent advances in artificial intelligence (AI), built environment (BE) is getting more and
more closely linked to energy. A macroscopic view of smart energy (SE) and smart built …
more closely linked to energy. A macroscopic view of smart energy (SE) and smart built …
Visual tool for sustainable buildings: A design approach with various data visualisation techniques
To tackle sustainability, the building sector has to take into account the life cycle impacts of
buildings. However, due to the complexity of life cycle assessment (LCA) and life cycle …
buildings. However, due to the complexity of life cycle assessment (LCA) and life cycle …
An intelligent load manager for PV powered off-grid residential houses
This paper proposes a management system based on certain rule set implemented by
Modified Mild Intrusive Genetic Algorithm (MMIGA) that will optimize the load allocation to …
Modified Mild Intrusive Genetic Algorithm (MMIGA) that will optimize the load allocation to …
A self-learning algorithm for coordinated control of rooftop units in small-and medium-sized commercial buildings
With the advent of the smart grid, demand response (DR) has been implemented in many
electric utility control areas to reduce peak demand in buildings during grid stress …
electric utility control areas to reduce peak demand in buildings during grid stress …
Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques
Green technologies gain popularity to reduce the pollution and give higher penetration of
renewable energy source in the transportation. This research induce that the extensive …
renewable energy source in the transportation. This research induce that the extensive …
Straight line programs for energy consumption modelling
Energy consumption has increased in recent decades at a rate ranging from 1.5% to 10%
per year in the developed world. As a consequence, several efforts have been made to …
per year in the developed world. As a consequence, several efforts have been made to …
Large-scale building thermal modeling based on artificial neural networks: Application to smart energy management
L Rajaoarisoa - Artificial Intelligence Techniques for a Scalable Energy …, 2020 - Springer
This chapter focuses specifically on the development of a smart building energy
management (SBEM) system. The system has two main goals: the first one is, by using an …
management (SBEM) system. The system has two main goals: the first one is, by using an …
Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review
Hybrid Vehicles have experienced major modifications since the last decade. Smart grid
success with combination of renewable energy exclusively depends upon the large-scale …
success with combination of renewable energy exclusively depends upon the large-scale …