[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

W Zhang, Y Wu, JK Calautit - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …

Building HVAC control with reinforcement learning for reduction of energy cost and demand charge

Z Jiang, MJ Risbeck, V Ramamurti, S Murugesan… - Energy and …, 2021 - Elsevier
Energy efficiency remains a significant topic in the control of building heating, ventilation,
and air-conditioning (HVAC) systems, and diverse set of control strategies have been …

Smart building management system: Performance specifications and design requirements

R Eini, L Linkous, N Zohrabi, S Abdelwahed - Journal of Building …, 2021 - Elsevier
In a smart building, physical and computational elements are integrated to create an
environment that is energy-efficient, comfortable, and safe for its occupants. The design and …

A Systematic Review on the Use of AI for Energy Efficiency and Indoor Environmental Quality in Buildings

J Ogundiran, E Asadi, M Gameiro da Silva - Sustainability, 2024 - mdpi.com
Global warming, climate change and the energy crisis are trending topics around the world,
especially within the energy sector. The rising cost of energy, greenhouse gas (GHG) …

Optimal components capacity based multi-objective optimization and optimal scheduling based MPC-optimization algorithm in smart apartment buildings

K Tamashiro, E Omine, N Krishnan, A Mikhaylov… - Energy and …, 2023 - Elsevier
Abstract Changes in the global energy landscape have increased the importance of
research on energy management methods in the power grid. In particular, Demand Side …

Thermal modeling and Machine learning for optimizing heat transfer in smart city infrastructure balancing energy efficiency and Climate Impact

M Shafiq, NPG Bhavani, JVN Ramesh… - Thermal Science and …, 2024 - Elsevier
The paper proposes a framework based on deep learning, transfer learning, and multi-
objective optimisation to model and optimise heat transfer in smart city infrastructure to make …

Energy disaggregation in smart home appliances: a deep learning approach

AS Siddiqui, AM Sibal - Energy, 2020 - hal.science
Energy management in smart homes is a hot topic due to the growing concerns on global
energy depletion and environmental pollution. Non-Intrusive Load Monitoring (NILM) …

A User Based HVAC System Management Through Blockchain Technology and Model Predictive Control

G Olivieri, G Volpe, AM Mangini… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper introduces an innovative approach to designing a user-based Heating,
Ventilation, and Air-Conditioning (HVAC) system management connected with the District …

Design and implementation of a distributed control platform for a smart building testbed

N Puryear, M Zaman, R Eini… - 2021 IEEE 23rd Int …, 2021 - ieeexplore.ieee.org
One of the leading frontiers of the Internet of Things (IoT) era, smart building systems have
made modern homes more innovative, interconnected, and autonomous. The goal of a …

Analysis of Model Predictive Control-Based Energy Management System Performance to Enhance Energy Transmission

IJ Chowdhury, SH Yusoff, TS Gunawan, SA Zabidi… - Energies, 2024 - mdpi.com
A supervisory control system using Model Predictive Control (MPC) has been designed to
evaluate the efficiency of wind and solar power and is consistent with the cost function in the …