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...

Using Hyperparameter Tuning via Deep Reinforcement Learning to Optimize Energy Storage Systems in an Integrated Energy System

2024 IEEE Power & Energy Society General Meeting (PESGM), 2024, p.1-5

2024

Volltextzugriff (PDF)

Battery state-of-health diagnostics during fast cycling using physics-informed deep-learning

Journal of power sources, 2023-11, Vol.585, p.233582, Article 233582

2023

Volltextzugriff (PDF)

(Invited) A Framework for in-Line Analysis and Quantification of Battery Aging Mechanisms Using Electrochemical Signatures Under Fast-Cycling Conditions

Meeting abstracts (Electrochemical Society), 2023-08, Vol.MA2023-01 (2), p.700-700

2023

Volltextzugriff (PDF)

Modeling of Solid Oxide -Electrolyzer and -Fuel Cell for Nuclear-Renewable Integrated Energy Systems

2023 IEEE Power & Energy Society General Meeting (PESGM), 2023, p.1-5

2023

Volltextzugriff (PDF)

Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system

Applied energy, 2022-12, Vol.328, p.120113, Article 120113

2022

Volltextzugriff (PDF)

Physics-Based Methods and Tools for Rapid Classification, Quantification, and Forecasting of Lithium-Ion Battery Aging Modes and Life

Meeting abstracts (Electrochemical Society), 2022-10, Vol.MA2022-02 (3), p.351-351

2022

Volltextzugriff (PDF)

Accelerated battery life predictions through synergistic combination of physics-based models and machine learning

Cell reports physical science, 2022-09, Vol.3 (9), p.101023, Article 101023

2022

Volltextzugriff (PDF)

Rapid failure mode classification and quantification in batteries: A deep learning modeling framework

Energy Storage Materials, 2022-03, Vol.45, p.1002-1011

2022

Volltextzugriff (PDF)

A Transactive Energy Framework for Hydrogen Production with Economically Viable Nuclear Power

2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 2022, p.1-5

2022

Volltextzugriff (PDF)

Physics-Based Machine Learning: Data Needs and Practices for Failure Mode Classification and Life Prediction

Meeting abstracts (Electrochemical Society), 2021-10, Vol.MA2021-02 (1), p.44-44

2021

Volltextzugriff (PDF)

Deep Learning for Rapid Failure Mode Classification and Quantification in Batteries

Meeting abstracts (Electrochemical Society), 2021-10, Vol.MA2021-02 (1), p.159-159

2021

Volltextzugriff (PDF)

Early Battery Performance Prediction for Mixed Use Charging Profiles Using Hierarchal Machine Learning

Batteries & supercaps, 2021-07, Vol.4 (7), p.1186-1196

2021

Volltextzugriff (PDF)

A framework for integrated dispatching and charging management of an autonomous electric vehicle ride-hailing fleet

Transportation research. Part D, Transport and environment, 2021-06, Vol.95 (C)

2021

Volltextzugriff (PDF)

A framework for integrated dispatching and charging management of an autonomous electric vehicle ride-hailing fleet

Transportation research. Part D, Transport and environment, 2021-06, Vol.95, p.102822, Article 102822

2021

Volltextzugriff (PDF)

Identification and Quantification of Aging Modes with Deep Learning Models

Meeting abstracts (Electrochemical Society), 2021-05, Vol.MA2021-01 (2), p.195-195

2021

Volltextzugriff (PDF)

Comparison of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking

2021 IEEE Conference on Control Technology and Applications (CCTA), 2021, p.808-813

2021

Volltextzugriff (PDF)

A highly efficient control framework for centralized residential charging coordination of large electric vehicle populations

International journal of electrical power & energy systems, 2020-05, Vol.117 (C), p.105661, Article 105661

2020

Volltextzugriff (PDF)

A highly efficient control framework for centralized residential charging coordination of large electric vehicle populations

International journal of electrical power & energy systems, 2019-11, Vol.117 (C)

2019

Volltextzugriff (PDF)

Optimal charging management and infrastructure planning for free-floating shared electric vehicles

Transportation research. Part D, Transport and environment, 2019-11, Vol.76 (C), p.155-175

2019

Volltextzugriff (PDF)

Energy Aware Driving: Optimal Electric Vehicle Speed Profiles for Sustainability in Transportation

IEEE transactions on intelligent transportation systems, 2019-03, Vol.20 (3), p.1137-1148

2019

Volltextzugriff (PDF)

Optimal Stochastic Eco-Routing Solutions for Electric Vehicles

IEEE transactions on intelligent transportation systems, 2018-12, Vol.19 (12), p.3807-3817

2018

Volltextzugriff (PDF)

Energy impact evaluation for eco-routing and charging of autonomous electric vehicle fleet: Ambient temperature consideration

Transportation research. Part C, Emerging technologies, 2018-04, Vol.89 (C), p.344-363

2018

Volltextzugriff (PDF)

Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Transportation research. Part C, Emerging technologies, 2018-01, Vol.86 (C), p.37-58

2018

Volltextzugriff (PDF)

A Data-Driven Framework for Residential Electric Vehicle Charging Load Profile Generation

2018 IEEE Transportation Electrification Conference and Expo (ITEC), 2018, p.519-524

2018

Volltextzugriff (PDF)

Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Transportation research. Part C, Emerging technologies, 2017-11, Vol.86 (C)

2017

Volltextzugriff (PDF)

1 – 25 von 35

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(19)
Mit Volltextzugriff
(22)

Publikationsform

Sprache

Englisch
(35)

Erscheinungsjahr

n.n

Thema

Science & Technology
(22)
Technology
(21)
Transportation
(14)
Engineering
(12)
Transportation Science & Technology
(12)
Energy Consumption
(10)
Engineering, Electrical & Electronic
(10)
Electric Vehicle
(9)
Optimization
(7)
Vehicles
(7)
Electric Vehicles
(6)
Energy Conservation, Consumption, And Utilization
(6)
Energy Storage
(5)
Batteries
(4)
Energy & Fuels
(4)
Machine Learning
(4)
Materials Science
(4)
Materials Science, Multidisciplinary
(4)
Mathematical Model
(4)
Physical Sciences
(4)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(1)

Menü

Weitere Dienste

Einstellungen

Using Hyperparameter Tuning via Deep Reinforcement Learning to Optimize Energy Storage Systems in an Integrated Energy System

Battery state-of-health diagnostics during fast cycling using physics-informed deep-learning

(Invited) A Framework for in-Line Analysis and Quantification of Battery Aging Mechanisms Using Electrochemical Signatures Under Fast-Cycling Conditions

Modeling of Solid Oxide -Electrolyzer and -Fuel Cell for Nuclear-Renewable Integrated Energy Systems

Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system

Physics-Based Methods and Tools for Rapid Classification, Quantification, and Forecasting of Lithium-Ion Battery Aging Modes and Life

Accelerated battery life predictions through synergistic combination of physics-based models and machine learning

Rapid failure mode classification and quantification in batteries: A deep learning modeling framework

A Transactive Energy Framework for Hydrogen Production with Economically Viable Nuclear Power

Physics-Based Machine Learning: Data Needs and Practices for Failure Mode Classification and Life Prediction

Deep Learning for Rapid Failure Mode Classification and Quantification in Batteries

Early Battery Performance Prediction for Mixed Use Charging Profiles Using Hierarchal Machine Learning

A framework for integrated dispatching and charging management of an autonomous electric vehicle ride-hailing fleet

A framework for integrated dispatching and charging management of an autonomous electric vehicle ride-hailing fleet

Identification and Quantification of Aging Modes with Deep Learning Models

Comparison of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking

A highly efficient control framework for centralized residential charging coordination of large electric vehicle populations

A highly efficient control framework for centralized residential charging coordination of large electric vehicle populations

Optimal charging management and infrastructure planning for free-floating shared electric vehicles

Energy Aware Driving: Optimal Electric Vehicle Speed Profiles for Sustainability in Transportation

Optimal Stochastic Eco-Routing Solutions for Electric Vehicles

Energy impact evaluation for eco-routing and charging of autonomous electric vehicle fleet: Ambient temperature consideration

Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

A Data-Driven Framework for Residential Electric Vehicle Charging Load Profile Generation

Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Suchergebnisse filtern