). To this scope, in this paper, a brief review on energy management systems, available control approaches and modeling algorithms is performed.
Energy manager: Enables operators to use software to report and monitor energy consumption patterns, track cost or savings and optimize lighting
Decarbonization, electrification, efficiency and digitalization can revamp old buildings, make new builds zero-carbon ready and reduce operating
Buildings play a significant role in the energy transition: According to the IEA, buildings are responsible for a staggering 30 percent of final energy consumption and are one of the largest
This critical analysis of the features and adoption frameworks of IoT in smart buildings carefully investigates various applications that enhance energy
As energy costs rapidly increase, and environmental issues remain a major concern across the world, there is rising pressure for increased uptake in
From smart materials and adaptive façades to renewable energy integration and digital monitoring systems, the studies highlight practical
His research presents a comprehensive analysis of the potential of artificial intelligence to optimize energy use in smart buildings, underpinned by an extensive meta-analysis of building
With greenhouse gas emissions and climate change continuing to be major global concerns, researchers are increasingly focusing on reducing energy
Therefore, in this paper, we give a comprehensive state-of-the-art on various recent techniques and solutions which provide energy savings in smart
Adoption of smart buildings and automated energy management systems (EMS) has been motivated by the need for energy efficiency in the built
Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide
In an era focused on sustainability, integrating smart technology into green buildings is pivotal. This process involves deploying advanced technologies, such as IoT devices, AI systems,
These cases, covering both residential and non-residential buildings in Europe, Asia, Australia, and North America, demonstrate the ability of smart
The increasing need for reducing carbon emissions and promoting smart, energy-saving buildings is fueling the rising trend of sophisticated control sy
The paper presents the beginning steps in a case study concentrating on the principles of life cycle assessment of smart buildings and methods to better optimize energy consumption.
Smart energy efficiency solutions to cut costs, reduce energy waste, and improve building performance with smart analytics and building automation.
This work aims to quantify the energy-saving potential of passive strategies in five upcoming megacities, namely Hyderabad, Bogota,
Learn how to harness digitization to make energy-efficient and sustainable commercial buildings and transform them to exceed sustainability goals.
This study examines the integration of IoT and AI in energy-efficient smart buildings, emphasising applications and challenges. A qualitative
AGIL Smart Energy Building is a next-generation suite of smart energy solutions that enables building owners to take a whole-of-building approach to accelerate
PDF | On Oct 29, 2025, Chinedu C. Onweh and others published A Review of Energy Efficiency Strategies in Smart Buildings: Integrating Occupant Comfort,
How is the EU specifically shaping the future of buildings and the way we interact with them? How can we make our buildings more intelligent and
The building sector accounts for a significant proportion of global energy usage and carbon dioxide emissions. It is important to explore
The integration of Artificial Intelligence (AI) in the built environment has emerged as a pivotal strategy for enhancing sustainability and energy
Data-driven technologies in smart buildings offer significant opportunities to enhance energy efficiency, sustainability, and occupant comfort.
We explored the process of digitizing energy, the practical application of state-of-the-art energy systems using building energy modeling, and the integration of advanced machine learning
This chapter explores how renewable energy systems and available smart technologies have been integrated into modern architecture in an attempt to increase sustainability, energy
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