
Integrating Machine Learning and Digital Twins for
The main objective of this systematic review is to identify studies that address the use of Machine Learning and Digital Twins for energy management

The main objective of this systematic review is to identify studies that address the use of Machine Learning and Digital Twins for energy management

This study presents a sophisticated building energy management system, assessed via pilot implementations, which utilizes a platform based on adaptive and intelligent edge computing.

To introduce new energy management (EM) systems that apply solar energy, geothermal energy, and wind energy to intelligent building (IB), so as to reduce the energy consumption of

The goal of IoT-based energy management is to make energy consumption visible, controllable, and optimizable. Thanks to networked sensors

The global drive toward sustainability and energy efficiency has accelerated the development of smart buildings integrating the Internet of

This article explores the application of Internet of Things technology in intelligent green buildings through empirical research, and analyzes its practical effects in improving building energy

The operations, advantages, and limitations of the existing BEMSs or nZEBs are illustrated. A comprehensive review of the different types of IoE-based BEMS technologies, such as energy

Energy Management Systems (EMS) provide information on energy usage, especially which device is consuming how much energy for monitoring and control. These EMS can be substantially improved

To solve these issues, a BEMS or nZEB solution based on the Internet of energy (IoE) provides disruptive opportunities for revolutionizing sustainable

This critical analysis of the features and adoption frameworks of IoT in smart buildings carefully investigates various applications that enhance energy management, operational efficiency,

By connecting HVAC, lighting, security, and facility management systems through a centralized platform, smart buildings deliver unprecedented

Using Internet of things (IoT)-based energy monitoring technology, these EMS may be vastly improved and upgraded, resulting in more energy savings. This research provides support for the use of real

In this paper, we provide an overview of the current state of the art of IoT-based smart building technology, IoT architecture, and its potential for improving energy efficiency.

Beyond performance benchmarks, this research offers practical value by outlining frameworks for the implementation of AI-based energy management

Request PDF | Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study | IoT applications for building energy management, enhanced by

Artificial Intelligence is revolutionising energy efficiency in buildings, positioning them as key players in the energy transition. This report explores how AI adoption enables more precise, flexible

Connected buildings rely on a comprehensive network of sensors, controllers, and analytics platforms that work in concert to monitor and manage

This study examines the integration of IoT and AI in energy-efficient smart buildings, emphasising applications and challenges. A qualitative

IoT applications for building energy management, enhanced by artificial intelligence (AI), have the potential to transform how energy is

Building energy management and control systems in commercial buildings can benefit both property owners and occupants. Three new briefs

Buildings are one of the main consumers of energy in cities, which is why a lot of research has been generated around this problem. Especially, the buildings energy management systems

This paper summarises a literature review on the applications of Internet of Things (IoT) with the aim of enhancing building energy use and reducing greenhouse

The use of machine learning techniques for developing intelligent energy management systems for buildings. Because of the growing emphasis placed on energy efficiency and sustainability,

Apart from these, smart buildings have been designed. These buildings incorporate various technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) to control the

A comprehensive review of the different types of IoE-based BEMS technologies, such as energy routers, storage systems and materials,

To address these challenges, we developed an automated hybrid deep learning and Internet of Things (DL-IoT) building energy management system (BEMS) aimed at conserving energy.

Choi et al. developed an IoT-based HVAC system (I-HVAC) for indoor quality management and optimizing building energy consumption for future ZEBs. The framework was
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