AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
[HTML][HTML] Next-generation energy systems for sustainable smart cities: Roles of transfer learning
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …
improving grid stability and meeting service demand. This is possible by adopting next …
A comprehensive review of recent research trends on unmanned aerial vehicles (uavs)
The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and
industrial sectors has attracted a wave of new researchers and substantial investments in …
industrial sectors has attracted a wave of new researchers and substantial investments in …
[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …
consumption, reducing costs, and promoting building transformation. Besides, integrating …
Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities
Sports facilities are considered complex buildings due to their high energy demand and
occupancy profiles. Therefore, their management and optimization are crucial for reducing …
occupancy profiles. Therefore, their management and optimization are crucial for reducing …
[HTML][HTML] Machine learning for forecasting a photovoltaic (PV) generation system
To mitigate the carbon print of buildings, they should have on-site renewable energy
generation systems to supply energy for the buildings without relying on the national grid …
generation systems to supply energy for the buildings without relying on the national grid …
Day-ahead scheduling of 100% isolated communities under uncertainties through a novel stochastic-robust model
Energy communities enable effective coordination among prosumers on pursuing collective
targets. This paper focuses on isolated 100% renewable communities, involving individual …
targets. This paper focuses on isolated 100% renewable communities, involving individual …
A review of distributed energy system optimization for building decarbonization
Building energy consumption has increased rapidly in the past decade, in particular for heat
demand and electric vehicles, owning to the development of economy and improvement of …
demand and electric vehicles, owning to the development of economy and improvement of …
The impacts of sport emissions on climate: Measurement, mitigation, and making a difference
As a global industry, sport makes potentially significant contributions to climate change
through both carbon emissions and influence over sustainability practices. Yet, evidence …
through both carbon emissions and influence over sustainability practices. Yet, evidence …
Net zero energy cost building system design based on artificial intelligence
This paper presents a solution to the energy planning problem in buildings by implementing
the net Zero Energy cost Building (nZEcB), a new concept that refers to buildings with zero …
the net Zero Energy cost Building (nZEcB), a new concept that refers to buildings with zero …