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Now showing items 181-190 of 193
Security Analysis of Merging Control for Connected and Automated Vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Securing traffic flows in internet of vehicles (IoV) environments for connected and automated vehicles (CAVs) is a critical task as it should be done in real-time to allow vehicles' controllers engagement on time. In this ...
Data-driven fault detection and isolation of nonlinear systems using deep learning for Koopman operator
(
ISA - Instrumentation, Systems, and Automation Society
, 2023 , Article)
This paper proposes a data-driven actuator fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses a deep neural network architecture to obtain an invariant set of basis ...
Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities
(
Elsevier Ltd
, 2022 , Article)
Sports facilities are considered complex buildings due to their high energy demand and occupancy profiles. Therefore, their management and optimization are crucial for reducing their energy consumption and carbon footprint ...
Modified Particle Filters for Detection of False Data Injection Attacks and State Estimation in Networked Nonlinear Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Networked control systems which transfer data over communication networks may suffer from malicious cyber attacks by injecting false data to the transferred information. Such attacks can cause performance degradation of ...
Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities
(
Elsevier Ltd
, 2022 , Other)
Sports facilities (SFs) consume massive energy given their unique demand profiles and operation requirements. Intelligent and effective solutions are necessary to tackle the matter of facilities’ sustainability and efficiency. ...
An efficient component map generation method for prediction of gas turbine performance
(
American Society of Mechanical Engineers (ASME)
, 2014 , Conference Paper)
Improving efficiency, reliability and availability of gas turbines have become more than ever one of the main areas of interest in gas turbine research. This is mainly due to the stringent environmental regulations that ...
Full-Scale Seawater Reverse Osmosis Desalination Plant Simulator
(
Elsevier B.V.
, 2020 , Conference Paper)
Reverse Osmosis (RO) is an evolving membrane-based technology for water desalination that started to gain increased popularity in the light of the increased global water demand due its high efficiency and low carbon ...
Koopman Operator Approximation Under Negative Imaginary Constraints
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Nonlinear Negative Imaginary (NI) systems arise in various engineering applications, such as controlling flexible structures and air vehicles. However, unlike linear NI systems, their theory is not well-developed. In this ...
Optimal Energy Dispatch Engine for PV-DG-ESS Hybrid Power Plants Considering Battery Degradation and Carbon Emissions
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Uncertainties in load and solar power forecasting, complex energy storage system (ESS) constraints, and feedback correction pose challenges for very short-term and short-term hybrid power plant scheduling. This paper ...
Analysis of Unsupervised Consumption Anomaly Detection in Sports Facilities using Artificial Intelligence-Based Data Analytics: A Case Study
(
Association for Computing Machinery (ACM)
, 2023 , Conference Paper)
Sports facilities have exceptionally high energy demand due to the extensive operational requirements and high-occupancy seasonal rates. Towards promoting efficient energy usage and minimal losses, consumption anomaly ...