Browsing by Subject "Electric power transmission networks"
Now showing items 1-20 of 30
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Accelerating Electromigration Stress Analysis Using Low-Rank Balanced Truncation
(2022)Electromigration (EM) has become one of the most significant challenges considering longterm reliability in integrated circuit design. The problem is caused by the large current density in circuit interconnections. However, ... -
Analytical Modeling of Transient Electromigration Stress based on Boundary Reflections
(2021)Traditional methods that test for electromigration (EM) failure in multisegment interconnects, over the lifespan of an IC, are based on the use of the Blech criterion, followed by Black’s equation. Such methods analyze ... -
Blockchain based uniform price double auctions for energy markets
(2019)The energy sector is undergoing a massive transformation that greatly affects and is being affected by its market mechanisms. This paper presents the design, the prototype implementation and the analysis of a decentralized, ... -
A Combinatorial Multigrid Preconditioned Iterative Method for Large Scale Circuit Simulation on GPU s
(2018)Efficient large scale circuit simulation is among the most challenging problems facing the EDA industry today, since it is the only feasible way to verify a circuit's behaviour prior to manufacturing. In recent years, the ... -
Combined forecasting system for short-term bus load forecasting based on clustering and neural networks
(2020)Micro-grids as 'micro-graphs' of the power systems involve the management of small loads, either isolated or connected to the main grid. Load forecasting is a tool of fundamental importance in power systems design and ... -
Decentralized blockchain-based consensus for Optimal Power Flow solutions
(2021)We design, implement and analyze a decentralized consensus algorithm based on the blockchain technology for the solution of the Optimal Power Flow problem. The proposed algorithm enables independent power grid nodes, without ... -
Demand Response using Admission Control
(2016)This paper presents a novel and scalable Demand Response (DR) implementation for smart grid applications using admission control algorithms. Subscribers are assumed to send requests to enter to utility's DR programs whereas ... -
A design flow for the precise identification of the worst-case voltage drop in power grid analyses
(2008)Modern IC designs contain hundreds of millions of transistors and new implementations of multi core chips take place in commercial products. Identifying worst-case voltage drop conditions in every hierarchical module ... -
Efficient solution of large sparse linear systems in modern hardware
(2016)The solution of large-scale sparse linear systems arises in numerous scientific and engineering problems. Typical examples involve study of many real world multi-physics problems and the analysis of electric power systems. ... -
Energy Analysis of a NZEB Office Building with Rooftop PV Installation: Exploitation of the Employees’ Electric Vehicles Battery Storage
(2022)Near zero energy buildings are increasing worldwide, exploiting low-carbon technologies in heating and electricity self-production. Commercial buildings are increasingly considered as candidates for the installation of ... -
Enhanced short-term load forecasting using artificial neural networks
(2021)The modernization and optimization of current power systems are the objectives of research and development in the energy sector, which is motivated by the ever-increasing electricity demands. The goal of such research and ... -
Exploiting Extended Krylov Subspace for the Reduction of Regular and Singular Circuit Models
(2021)During the past decade, Model Order Reduction (MOR) has become key enabler for the efficient simulation of large circuit models. MOR techniques based on moment-matching are well established due to their simplicity and ... -
An Hour-Ahead Photovoltaic Power Forecasting Based on LSTM Model
(2021)The extensive integration of the large-scale Photovoltaic (PV) plants into the power grid requires the development of new forecasting methods, for the prediction of the PV output with high accuracy. Despite the statistical ... -
Impact of demand side management methods on modern power systems
(2021)Efficient energy consumption remains an important factor in Europe's ambitious goals for sustainable development and activities related to air quality, global warming and climate change. However, especially during the ... -
An incentive-based implementation of demand side management in power systems
(2021)The growing demand for electricity runs counter to European-level goals, which include activities aimed at sustainable development and environmental protection. In this context, efficient consumption of electricity attracts ... -
An internet of things architecture for preserving privacy of energy consumption
(2016)Energy consumption by residential customers represents today around 30 to 40% of the total consumed energy, with the residential loads often to be charged for significant contribution to the peak demands both seasonal and ... -
Large scale circuit simulation exploiting combinatorial multigrid on massively parallel architectures
(2018)The complexity of modern very large scale integrated circuits renders circuit simulation very essential in the design process, as it is the only feasible way to verify circuit's behaviour prior to manufacturing. The heart ... -
A learning approach for strategic consumers in smart electricity markets
(2016)In this paper we consider the design and the implementation of a machine learning approach and its integration with a widely used energy simulation platform. We focus on auction based energy markets which require their ... -
Modeling and optimization of the smart grid ecosystem
(2016)The smart energy grid has evolved into a complex ecosystem, with new entering actors such as aggregators, and traditional ones like consumers, operators and generators having fundamentally different, active roles in the ... -
Multiobjective unfolding of shared power consumption pattern using genetic algorithm for estimating individual usage in smart cities
(2016)In smart cities residential homes are fully equipped with information networking and computing technologies and are connected to the power grid via intelligent meters. Connectivity of meters allows formation of groups of ...