34 documents found, page 1 of 4

Towards Machine-Learning-Based Digital Twins to Enhance Operation and Energy Ma...

Integrating Machine Learning and Digital Twins for Enhanced Smart Building Oper...

Artificial Intelligence has recently expanded across various applications. Machine Learning, a subset of Artificial Intelligence, is a powerful technique for identifying patterns in data to support decision making and managing the increasing volume of information. Simultaneously, Digital Twins have been applied in several fields. In this context, combining Digital Twins, Machine Learning, and Smart Buildings of...

Forecasting Power Demand in Complex Buildings Using Machine Learning: A Shoppin...

Recent studies have focused on forecasting power demand in buildings to enhance energy management. However, the literature still lacks comparative analyses of power demand forecasting algorithms. In addition, more case studies involving different building typologies are needed, as each building exhibits distinct behavior and load profiles. This paper aims to develop machine learning models to forecast the power...

Exploring Acceptance Factors of Internet of Things in Smart Home

A Zero-Shot Learning Approach for Task Allocation Optimization in Cyber-Physica...

The design and reorganization of Cyber-Physical Systems (CPSs) faces challenges due to the growing number of interconnected devices. To effectively handle disruptions and improve performance, rapid CPS design and development is crucial. The Task Resources Estimator and Allocation Optimizer (TREAO) addresses these challenges, by simulating and optimizing the tasks assignment to the CPS machines, recommending sui...

Leveraging Difference Reward in Multiagent Systems at City-scale Networks using...

Enhancing decision-making in transportation management: A comparative study of ...

Cooperative, Connected and Autonomous Mobility: A Simulation Framework for Eval...

Autonomous driving and vehicular networking have gained traction during the last decade. Simulation is one of the major tools for assessing coordination mechanisms (e.g. intersection control), especially when considering autonomous vehicles. This study proposes a simulation framework for researching MAS-based coordination mechanisms. The framework includes three main components for accurately replicating the sc...

Cooperative, Connected and Autonomous Mobility: Coordination at Intersections u...

Road transportation is fundamental for the movement of individuals and goods, also contributing to economic development. A significant contributor to urban road congestion is poor intersection control using conventional traffic signals. In this work, we present a decentralized multi-agent system mechanism for road intersection management for connected autonomous vehicles, including the coordination of platoon f...

Traffic Light Management for Automated Guided Vehicle Systems using Deep Reinfo...