Results 21 to 30 of about 942,434 (297)

Modeling and Stability Analysis of a Smart Transformer-Fed Grid

IEEE Access, 2020
The interaction of the smart transformer (ST) with the grid-converter-based distributed energy resources (DERs) could trigger instability. Recent research efforts have been made to study the stability issues caused by the resonances (e.g.
Zhixiang Zou, Marco Liserre, Zheng Wang, Ming Cheng   +3 more
doaj   +1 more source

Impact of Optimal Control of Distributed Generation Converters in Smart Transformer Based Meshed Hybrid Distribution Network

IEEE Access, 2021
A smart transformer (ST) based meshed hybrid distribution network is realized by extending ST low voltage dc (LVDC) link to form a LVDC line which connects dc buses of existing distributed generation (DG) converters.
Chandan Kumar, Rampelli Manojkumar, Sanjib Ganguly, Marco Liserre   +3 more
doaj   +1 more source

Bidirectional Transformer Language Models for Smart Autocompletion of Source Code

, 2021
This paper investigates the use of transformer networks – which have recently become ubiquitous in natural language processing – for smart autocompletion on source code.
Villmow, Johannes, Ulges, Adrian, Binder, Felix   +2 more
core   +1 more source

Computational and experimental verification of the equivalent permeability of the step-lap joints of transformer cores

, 2008
The paper develops an efficient computational method for establishing equivalent characteristics of magnetic joints of transformer cores, with special emphasis on step-lap design.
N. Nihat, E. Napieralska-Juszczak, Sykulski, J. K., Napieralska-Juszczak, E., J.K. Sykulski, J.Ph. Lecointe, Lecointe, J. Ph., Nihat, N.   +7 more
core   +2 more sources

eolphd/transformer-forecasting: transformer-forecasting

, 2023
<p>Main code and modules of a transformer neural network for environmental time series forecasting, including input data used for test. Orozco-López and Kaplan "Interpretable Transformer Neural Network Prediction of Diverse Environmental Time ...
eolphd
core   +1 more source

Identification of low voltage distribution transformer–customer connectivity based on unsupervised learning

Energy Reports, 2023
The increased penetration of smart meters in the low voltage distribution network provides valuable insights that distribution network operators can leverage to produce detailed analytics for decision making.
Nameer Al Khafaf, Hui Song, Brendan McGrath, Mahdi Jalili   +3 more
doaj   +1 more source

Assessment of Insecurity in Power Systems Using Smart Power Transformers

IEEE Access
The intelligent asset operational models in modern power systems can be used to assess insecurity that are not captured by conventional asset models. This paper presents an innovative Markov-chain framework to assess insecurity, proposing an advanced ...
Mohammed Abdullah Alsulami, Dilan Jayaweera   +1 more
doaj   +1 more source

Bridging in contaminated transformer oil under DC and AC electric field

, 2013
One of the key components in high voltage transmission and distribution systems are power transformers and their consistent operation is of utmost importance to energy utilities and users.
Wilson, G, Mahmud, S., Jarman, P, Golosnoy, I. O., Mahmud, S, Chen, G., Wilson, G., Golosnoy, I O, Chen, G, Jarman, P.   +9 more
core   +1 more source

A Novel Data-Energy Management Algorithm for Smart Transformers to Optimize the Total Load Demand in Smart Homes

Energies, 2020
The increased integration of Electric Vehicles (EVs) into the distribution network can create severe issues—especially when demand response programs and time-varying electricity prices are applied, EVs tend to charge during the off-peak time to minimize ...
Claude Ziad El-Bayeh, Ursula Eicker, Khaled Alzaareer, Brahim Brahmi, Mohamed Zellagui   +4 more
doaj   +1 more source

Transforming Smart Vehicles and Smart Homes into Private Diagnostic Spaces [PDF]

Proceedings of the 2020 2nd Asia Pacific Information Technology Conference, 2020
The aging societies require disruptive technologies and digitization of health is one of these. Similar to the controller area network bus of (smart) cars we have developed a bus-based system for smart homes. We consider both, vehicles and homes as private spaces, which, in contrast to smart wearables or smart clothes, provide sufficient power supply ...
openaire   +1 more source