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[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies
As one of the most important and advanced technology for carbon-mitigation in the building
sector, building performance simulation (BPS) has played an increasingly important role …
sector, building performance simulation (BPS) has played an increasingly important role …
State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field
Y Yao, DK Shekhar - Building and Environment, 2021 - Elsevier
Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …
and in turn, present us with different challenges for its optimized control of energy-saving …
A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis
Building energy use is expected to grow by more than 40% in the next 20 years. Electricity
remains the largest energy source consumed by buildings, and that demand is growing. To …
remains the largest energy source consumed by buildings, and that demand is growing. To …
[HTML][HTML] Data-driven predictive control for unlocking building energy flexibility: A review
Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …
the increasing penetration of variable renewable energy sources. As significant end-use …
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 …
Data-driven based HVAC optimisation approaches: A Systematic Literature Review
Improving the energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC)
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …
Deep learning for prediction of energy consumption: an applied use case in an office building
Non-residential buildings are responsible for more than a third of global energy
consumption. Estimating building energy consumption is the first step towards identifying …
consumption. Estimating building energy consumption is the first step towards identifying …
An experimental evaluation of deep reinforcement learning algorithms for HVAC control
Heating, ventilation, and air conditioning (HVAC) systems are a major driver of energy
consumption in commercial and residential buildings. Recent studies have shown that Deep …
consumption in commercial and residential buildings. Recent studies have shown that Deep …
Optimizing energy efficiency: a comprehensive analysis of building design parameters
ASM Morshed, KA Manjur - Available at SSRN 5079816, 2024 - papers.ssrn.com
This study explores the critical role of financial incentives, energy performance certifications,
government policies, and advanced technologies in driving the adoption of energy-efficient …
government policies, and advanced technologies in driving the adoption of energy-efficient …
Big data architecture for building energy management systems
The enormous quantity of data handled by building management systems are key to
develop more efficient energy operational systems. However, the inability of current systems …
develop more efficient energy operational systems. However, the inability of current systems …