Development and Implementation of a Flexibility Platform for
This work focused on prescribing, designing, implementing, and evaluating a pilot project conducted in the Greek power system that addressed balancing and congestion management issues that system operators (SOs) face within the clean energy era.
Sungrow Solutions Support the Project in Greece for
Athens, Greece, September 10th, 2024 - Sungrow, a global leading PV inverter and energy storage system provider, announce d that its products and solutions were chosen to equip a PV project on the Greek island of Kimolos,
Renewables integration into power systems through intelligent
A hybrid intelligent wind power forecasting technique is proposed in Osório et al. (2015) that integrates the adaptive neuro-fuzzy inference system (ANFIS), evolutionary PSO
A UAV Intelligent System for Greek Power Lines Monitoring
In this study, we propose an autonomous, intelligent inspection system for power lines, which is equipped with camera sensors operating in the visual (Red–Green–Blue (RGB) imaging) and infrared (thermal imaging) spectrums, capable of providing real-time
Short-Term Load Forecasting of the Greek Power System Using a
A dynamic fuzzy neural network for short-term load forecasting of the Greek power system is proposed, and an hourly based prediction for the whole year is performed. A DBD-FELF (Dynamic Block-Diagonal Fuzzy Electric Load Forecaster) consists of fuzzy rules with consequent parts that are neural networks with internal recurrence. These networks have a
GMV enters the Greek intelligent transportation systems market
To improve passengers'' current experience, GMV will provide CAF with the passenger information system, the public address system, the intercom system, and the video-surveillance system. The passenger information system will be shown on LED panels, both front and side, connected to the system controller, and on 29.4" LCD panels located
A UAV Intelligent System for Greek Power Lines Monitoring
In this study, we propose an autonomous, intelligent inspection system for power lines, which is equipped with camera sensors operating in the visual (Red–Green–Blue (RGB) imaging) and
A UAV Intelligent System for Greek Power Lines Monitoring
In this study, we propose an autonomous, intelligent inspection system for power lines, which is equipped with camera sensors operating in the visual (Red–Green–Blue (RGB) imaging) and infrared (thermal imaging) spectrums, capable of providing real-time alerts about the condition
Intelligent Critical Infrastructure Systems | Study in Greece
Occupational Profiles of Graduates with Examples The new MSc program will build and accelerate the development of competent graduates to be recruited by local and regional authorities and international companies that deal with the operation of critical infrastructure systems such as electric power systems, telecommunication networks, transportation systems
Renewables integration into power systems through intelligent
A hybrid intelligent wind power forecasting technique is proposed in Osório et al. (2015) that integrates the adaptive neuro-fuzzy inference system (ANFIS), evolutionary PSO (EPSO), wavelet transform (WT), and mutual information (MI). The hybrid system improves the forecasting operation with higher accuracy and an average MAPE of 3.75%.
A UAV Intelligent System for Greek Power Lines Monitoring
The paper presents an UAV based smart power line inspection system, using UAV mounted camera sensors operating in visual and infrared spectra. The paper presents an overall fault detection methodology with elements of novelty in the fusion of multichannel imaging data and the huge technical effort on real data.
A UAV Intelligent System for Greek Power Lines Monitoring
In this study, we propose an autonomous, intelligent inspection system for power lines, which is equipped with camera sensors operating in the visual (Red–Green–Blue (RGB) imaging) and infrared (thermal imaging) spectrums, capable of providing real-time alerts about the condition of power lines.
"Kythnos Smart Island" project | DAFNI | Network of Sustainable Greek
Kythnos has a rich history in the adoption of sustainable energy applications, starting from the installation of the first wind park in Europe in 1982, followed by a series of RES and storage
Renewables integration into power systems through intelligent
The author''s motivation behind the implementation of the research work is to demonstrate the current state of the power system integrated with intelligent techniques, especially for renewable resources. RNN-NAR based RESs power prediction: 2015: Olvio, Greece: PV + Wind + RNN + NAR • Daily and hourly energy prediction • Regression
Development and Implementation of a Flexibility
This work focused on prescribing, designing, implementing, and evaluating a pilot project conducted in the Greek power system that addressed balancing and congestion management issues that system
"Kythnos Smart Island" project | DAFNI | Network of Sustainable Greek
Kythnos has a rich history in the adoption of sustainable energy applications, starting from the installation of the first wind park in Europe in 1982, followed by a series of RES and storage installations subsequently resulting in 2000 to a fully automated intelligent power system largely powered by the local wind and solar potential.
A UAV Intelligent System for Greek Power Lines Monitoring
A UAV Intelligent System for Greek Power Lines Monitoring Aikaterini Tsellou, George Livanos, Dimitris Ramnalis, which are then inspected by human operators offline. In this study, we propose an autonomous, intelligent inspection system for power lines, which is equipped with camera sensors operating in the visual (Red–Green–Blue (RGB
Intelligent Power System
This article is intended to offer an undated overview of the application of artificial intelligence in power systems. It is organized in a way so that readers can easily understand the problems and the adequacy of the proposed solutions.
Machine Learning in Intelligent Power Management Systems
Machine learning for MCU implementation (tiny ML) is a growing field that offers new and enhanced functionality for battery management and motor control. ML algorithms discover information and patterns in complex sensor data that can be used to optimize performance and improve understanding of overall system health. In addition to advances in tiny ML techniques,
A Conceptual and Systematics for Intelligent Power Management System
This review describes a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must be shared quickly, accurately, and safely. The current study aims to introduce a conceptual and systematic structure with three main components: demand
A UAV Intelligent System for Greek Power Lines Monitoring
In this study, we propose an autonomous, intelligent inspection system for power lines, which is equipped with camera sensors operating in the visual (Red–Green–Blue (RGB) imaging) and
Intelligent Power Systems
ETI''s power products, available as either standard or custom versions, include AC and DC Power Distribution Units (PDU), Uninterruptible Power Systems (UPS), Integrated Power Systems (IPS), Frequency Converters, Power Conditioners and AC or DC Power Supplies. Each of these products are available with integrated intelligent features.
Intelligent Energy Management of Electrical Power Systems
Power systems today are smart and intelligent in that they are responding fast to the deviations from normal operations and dynamically adjusting the inputs to bring back the power system to a
Intelligent Methods in Electrical Power Systems
Covers the optimization algorithms used in power systems; Serves as a practical guide and reference resource for students, researchers and professionals The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several
"Kythnos Smart Island" project | DAFNI | Network of
Kythnos has a rich history in the adoption of sustainable energy applications, starting from the installation of the first wind park in Europe in 1982, followed by a series of RES and storage installations subsequently resulting in 2000 to a
ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR THE POWER SYSTEM
The focus in power systems evaluation has changed dramatically from earlier computer modeling, which came from industrial engineering, operations research, and computational analysis, to the less
6 FAQs about [Greece intelligent power system]
What is the intelligent generation control strategy for ESS?
An intelligent generation control strategy for ESS is proposed in Mahmoud et al. (2019) that focuses on enhancing battery lifetime, optimal power distribution, and minimizing costs. The charging/discharging time for batteries is analyzed by the FLC scheme.
How can intelligent systems improve energy management?
This would involve developing advanced intelligent techniques that can predict and analyze real-time data to ensure an efficient energy management system. Additionally, the integration of intelligent algorithms in controller design may improve the dynamic performance of power systems.
Are intelligent techniques important for power system research?
Overall, this study shows that intelligent techniques are crucial for power system research and offer a promising avenue for maintaining the feasibility of power system in the future. Future research can be expanded by utilizing intelligent techniques into RESs for optimal energy generation and distribution.
Does ESS integrate with wind & PV systems?
Several recently published research works emphasize significant aspects of wind, PV, and energy storage system (ESS) integration in power systems. In Kumar (2022), a control approach is proposed to achieve maximum point tracking (MPPT) of a hybrid wind–PV system.
Can artificial intelligence be integrated into Ress-based power systems?
The present state and the future aspect of integrating artificial intelligence (AI) into RESs-based power systems is illustrated in Jha et al. (2017), which includes the system configuration, simulation platforms, considered resources, and outcomes for individual control schemes based on ANN, CNN, FLC, PSO, GA, etc.
Can intelligent integration improve storage backup for Ress connected power distribution systems?
The intelligent integration into ESS emphasizes the possibility of enhancing the storage backup for RESs connected power distribution systems. The review analysis signifies the current view and potentiality of incorporating intelligent methods into power systems and demonstrates a significant insight into the research field. 1. Introduction