UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Comprehensive Cost Minimization in Distribution Networks Using Segmented-Time Feeder Reconfiguration and Reactive Power Control of Distributed Generators

IEEE transactions on power systems, 2016-03, Vol.31 (2), p.983-993

2016

Volltextzugriff (PDF)

Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

Journal of Modern Power Systems and Clean Energy, 2020-11, Vol.8 (6), p.1029-1042

2020

Volltextzugriff (PDF)

Flicker Mitigation by Active Power Control of Variable-Speed Wind Turbines With Full-Scale Back-to-Back Power Converters

IEEE transactions on energy conversion, 2009-09, Vol.24 (3), p.640-649

2009

Volltextzugriff (PDF)

Electric Vehicle Charging Management Based on Deep Reinforcement Learning

Journal of Modern Power Systems and Clean Energy, 2022-05, Vol.10 (3), p.719-730

2022

Volltextzugriff (PDF)

A review of offshore wind farm layout optimization and electrical system design methods

Journal of modern power systems and clean energy, 2019-09, Vol.7 (5), p.975-986

2019

Volltextzugriff (PDF)

Electric vehicles and large-scale integration of wind power – The case of Inner Mongolia in China

Applied energy, 2013-04, Vol.104, p.445-456

2013

Volltextzugriff (PDF)

Research on Cable Tension Prediction Based on Neural Network

Buildings (Basel), 2024-06, Vol.14 (6), p.1723

2024

Volltextzugriff (PDF)

Optimal Operation of Plug-In Electric Vehicles in Power Systems With High Wind Power Penetrations

IEEE transactions on sustainable energy, 2013-07, Vol.4 (3), p.577-585

2013

Volltextzugriff (PDF)

Flicker Mitigation by Individual Pitch Control of Variable Speed Wind Turbines With DFIG

IEEE transactions on energy conversion, 2014-03, Vol.29 (1), p.20-28

2014

Volltextzugriff (PDF)

An extended Kalman filter based SOC estimation method for Li-ion battery

Energy reports, 2022-08, Vol.8, p.81-87

2022

Volltextzugriff (PDF)

Research on priority scheduling strategy for smoothing power fluctuations of microgrid tie‐lines based on PER‐DDPG algorithm

IET generation, transmission & distribution, 2024-10, Vol.18 (20), p.3221-3233

2024

Volltextzugriff (PDF)

Deep Reinforcement Learning Based Approach for Optimal Power Flow of Distribution Networks Embedded with Renewable Energy and Storage Devices

Journal of Modern Power Systems and Clean Energy, 2021-09, Vol.9 (5), p.1101-1110

2021

Volltextzugriff (PDF)

Enhancing multivariate, multi-step residential load forecasting with spatiotemporal graph attention-enabled transformer

International journal of electrical power & energy systems, 2024-09, Vol.160, p.110074, Article 110074

2024

Volltextzugriff (PDF)

Conducted EMI Mitigation Schemes in Isolated Switching-Mode Power Supply Without the Need of a Y-Capacitor

IEEE transactions on power electronics, 2017-04, Vol.32 (4), p.2687-2703

2017

Volltextzugriff (PDF)

Application prospect of artificial intelligence in the low-carbon transition of energy system

Science China. Technological sciences, 2023-07, Vol.66 (7), p.2158-2160

2023

Volltextzugriff (PDF)

A novel framework based on adaptive Multi-Task learning for bearing fault diagnosis

Energy reports, 2023-09, Vol.9, p.522-531

2023

Volltextzugriff (PDF)

Optimized Power Dispatch in Wind Farms for Power Maximizing Considering Fatigue Loads

IEEE transactions on sustainable energy, 2018-04, Vol.9 (2), p.862-871

2018

Volltextzugriff (PDF)

Design method of rail grinding target profile based on non-uniform rational B-spline

Proceedings of the Institution of Mechanical Engineers. Part F, Journal of rail and rapid transit, 2021-09, Vol.235 (8), p.946-956

2021

Volltextzugriff (PDF)

A data-driven approach towards fast economic dispatch in integrated electricity and natural gas system

Energy reports, 2023-09, Vol.9, p.894-903

2023

Volltextzugriff (PDF)

An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach

Energies (Basel), 2019, Vol.12 (14), p.2764

2019

Volltextzugriff (PDF)

Multi-energy Management of Interconnected Multi-microgrid System Using Multi-agent Deep Reinforcement Learning

Journal of Modern Power Systems and Clean Energy, 2023-09, Vol.11 (4), p.1606-1617

2023

Volltextzugriff (PDF)

Electricity Theft Detection Method Based on Ensemble Learning and Prototype Learning

Journal of Modern Power Systems and Clean Energy, 2024, Vol.12 (1), p.213-224

2024

Volltextzugriff (PDF)

Deep reinforcement learning based parameter self-tuning control strategy for VSG

Energy reports, 2022-08, Vol.8, p.219-226

2022

Volltextzugriff (PDF)

A novel deep reinforcement learning enabled agent for pumped storage hydro‐wind‐solar systems voltage control

IET renewable power generation, 2021-12, Vol.15 (16), p.3941-3956

2021

Volltextzugriff (PDF)

Polyethylene Oxide as a Multifunctional Binder for High-Performance Ternary Layered Cathodes

Polymers, 2021-11, Vol.13 (22), p.3992

2021

Volltextzugriff (PDF)

1 – 25 von 849

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(610)
Mit Volltextzugriff
(698)

Publikationsform

Sprache

Englisch
(834)
Chinesisch
(14)

Erscheinungsjahr

n.n

Thema

Science & Technology
(624)
Technology
(457)
Engineering
(287)
Engineering, Electrical & Electronic
(205)
Energy & Fuels
(167)
Physical Sciences
(167)
Life Sciences & Biomedicine
(137)
Science & Technology - Other Topics
(94)
Optimization
(79)
Chemistry
(76)
Wind Power
(64)
Green & Sustainable Science & Technology
(62)
Materials Science
(59)
Algorithms
(57)
Humans
(56)
Computer Science
(50)
Machine Learning
(49)
Materials Science, Multidisciplinary
(49)
Wind Turbines
(45)
Wind Power Generation
(44)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Comprehensive Cost Minimization in Distribution Networks Using Segmented-Time Feeder Reconfiguration and Reactive Power Control of Distributed Generators

Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

Flicker Mitigation by Active Power Control of Variable-Speed Wind Turbines With Full-Scale Back-to-Back Power Converters

Electric Vehicle Charging Management Based on Deep Reinforcement Learning

A review of offshore wind farm layout optimization and electrical system design methods

Electric vehicles and large-scale integration of wind power – The case of Inner Mongolia in China

Research on Cable Tension Prediction Based on Neural Network

Optimal Operation of Plug-In Electric Vehicles in Power Systems With High Wind Power Penetrations

Flicker Mitigation by Individual Pitch Control of Variable Speed Wind Turbines With DFIG

An extended Kalman filter based SOC estimation method for Li-ion battery

Research on priority scheduling strategy for smoothing power fluctuations of microgrid tie‐lines based on PER‐DDPG algorithm

Deep Reinforcement Learning Based Approach for Optimal Power Flow of Distribution Networks Embedded with Renewable Energy and Storage Devices

Enhancing multivariate, multi-step residential load forecasting with spatiotemporal graph attention-enabled transformer

Conducted EMI Mitigation Schemes in Isolated Switching-Mode Power Supply Without the Need of a Y-Capacitor

Application prospect of artificial intelligence in the low-carbon transition of energy system

A novel framework based on adaptive Multi-Task learning for bearing fault diagnosis

Optimized Power Dispatch in Wind Farms for Power Maximizing Considering Fatigue Loads

Design method of rail grinding target profile based on non-uniform rational B-spline

A data-driven approach towards fast economic dispatch in integrated electricity and natural gas system

An Imbalance Fault Detection Algorithm for Variable-Speed Wind Turbines: A Deep Learning Approach

Multi-energy Management of Interconnected Multi-microgrid System Using Multi-agent Deep Reinforcement Learning

Electricity Theft Detection Method Based on Ensemble Learning and Prototype Learning

Deep reinforcement learning based parameter self-tuning control strategy for VSG

A novel deep reinforcement learning enabled agent for pumped storage hydro‐wind‐solar systems voltage control

Polyethylene Oxide as a Multifunctional Binder for High-Performance Ternary Layered Cathodes

Suchergebnisse filtern