Integration of IoT in building energy infrastructure: A critical review on challenges and solutions
Abstract The Internet of Things (IoT) has unprecedentedly entangled the physical world with
cyber technologies and its integration with building infrastructure (BI) is no different …
cyber technologies and its integration with building infrastructure (BI) is no different …
State of the art review on the HVAC occupant-centric control in different commercial buildings
Heating ventilation and air conditioning (HVAC) systems control that takes occupant
information into account is called HVAC occupant-centric control (OCC), which strikes better …
information into account is called HVAC occupant-centric control (OCC), which strikes better …
Energy management for internet of things via distributed systems
The distributed energy system (DES) architecture is subject to confusion about renewable
energy limits, primary energy supply and energy carriers' costs. For the grid to use unreliable …
energy limits, primary energy supply and energy carriers' costs. For the grid to use unreliable …
Deep learning-based industry 4.0 and internet of things towards effective energy management for smart buildings
Worldwide, energy consumption and saving represent the main challenges for all sectors,
most importantly in industrial and domestic sectors. The internet of things (IoT) is a new …
most importantly in industrial and domestic sectors. The internet of things (IoT) is a new …
Digital technologies for a net-zero energy future: A comprehensive review
The energy sector plays a vital role in achieving a sustainable net-zero future, and the
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …
Model predictive control for demand flexibility: Real-world operation of a commercial building with photovoltaic and battery systems
Hundreds of studies have investigated Model Predictive Control (MPC) for the optimal
operation of building energy systems in the past two decades. However, MPC field tests are …
operation of building energy systems in the past two decades. However, MPC field tests are …
Sensors for sustainable smart cities: A review
Experts confirm that 85% of the world's population is expected to live in cities by 2050.
Therefore, cities should be prepared to satisfy the needs of their citizens and provide the …
Therefore, cities should be prepared to satisfy the needs of their citizens and provide the …
LSTM and GRU neural networks as models of dynamical processes used in predictive control: A comparison of models developed for two chemical reactors
This work thoroughly compares the efficiency of Long Short-Term Memory Networks
(LSTMs) and Gated Recurrent Unit (GRU) neural networks as models of the dynamical …
(LSTMs) and Gated Recurrent Unit (GRU) neural networks as models of the dynamical …
Predictive maintenance in building facilities: A machine learning-based approach
The operation and maintenance of buildings has seen several advances in recent years.
Multiple information and communication technology (ICT) solutions have been introduced to …
Multiple information and communication technology (ICT) solutions have been introduced to …
IoT based smart parking system using deep long short memory network
Traffic congestion is one of the most notable urban transport problems, as it causes high
energy consumption and air pollution. Unavailability of free parking spaces is one of the …
energy consumption and air pollution. Unavailability of free parking spaces is one of the …