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...

Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation

European journal of operational research, 2022-01, Vol.296 (1), p.304-322

2022

Volltextzugriff (PDF)

Short-term nodal voltage forecasting for power distribution grids: An ensemble learning approach

Applied energy, 2021-12, Vol.304, p.117880, Article 117880

2021

Volltextzugriff (PDF)

Very-Short-Term Probabilistic Forecasting for a Risk-Aware Participation in the Single Price Imbalance Settlement

IEEE transactions on power systems, 2020-03, Vol.35 (2), p.1218-1230

2020

Volltextzugriff (PDF)

Neural network informed day-ahead scheduling of pumped hydro energy storage

Energy (Oxford), 2024-02, Vol.289, p.129999, Article 129999

2024

Volltextzugriff (PDF)

Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities

Energies (Basel), 2020-09, Vol.13 (18), p.4892

2020

Volltextzugriff (PDF)

An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision

Applied energy, 2020-12, Vol.280, p.115973, Article 115973

2020

Volltextzugriff (PDF)

Machine learning-assisted outage planning for maintenance activities in power systems with renewables

Energy (Oxford), 2022-01, Vol.238, p.121993, Article 121993

2022

Volltextzugriff (PDF)

Offering and bidding for a wind producer paired with battery and CAES units considering battery degradation

International journal of electrical power & energy systems, 2022-03, Vol.136, p.107685, Article 107685

2022

Volltextzugriff (PDF)

New approach to determine the healthy immune variations by combining clustering methods

Scientific reports, 2021-04, Vol.11 (1), p.8917-8917, Article 8917

2021

Volltextzugriff (PDF)

Recalibration of recurrent neural networks for short-term wind power forecasting

Electric power systems research, 2021-01, Vol.190, p.106639, Article 106639

2021

Volltextzugriff (PDF)

Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks

Energies (Basel), 2020-08, Vol.13 (15), p.3928

2020

Volltextzugriff (PDF)

Robust voltage control algorithm incorporating model uncertainty impacts

IET generation, transmission & distribution, 2019-09, Vol.13 (17), p.3921-3931

2019

Volltextzugriff (PDF)

Adequacy assessment using data-driven models to account for aerodynamic losses in offshore wind generation

Electric power systems research, 2022-10, Vol.211, p.108599, Article 108599

2022

Volltextzugriff (PDF)

Supervised learning-assisted modeling of flow-based domains in European resource adequacy assessments

Applied energy, 2022-11, Vol.325, p.119875, Article 119875

2022

Volltextzugriff (PDF)

Non-linear hybrid approach for the scheduling of merchant underground pumped hydro energy storage

IET generation, transmission & distribution, 2019-11, Vol.13 (21), p.4798-4808

2019

Volltextzugriff (PDF)

Collecting New Peak and Intermediate Infliximab Levels to Predict Remission in Inflammatory Bowel Diseases

Inflammatory bowel diseases, 2022-02, Vol.28 (2), p.208-217

2022

Volltextzugriff (PDF)

Enhanced integration of flow-based market coupling in short-term adequacy assessment

Electric power systems research, 2021-12, Vol.201, p.107507, Article 107507

2021

Volltextzugriff (PDF)

Batch Acquisition for Parallel Bayesian Optimization—Application to Hydro-Energy Storage Systems Scheduling

Algorithms, 2022-12, Vol.15 (12), p.446

2022

Volltextzugriff (PDF)

Sizing of underwater gravity storage with solid weights participating in electricity markets

International transactions on electrical energy systems, 2020-10, Vol.30 (10), p.n/a

2020

Volltextzugriff (PDF)

Machine Learning-Based Classification of Electrical Low Voltage Cable Degradation

Energies (Basel), 2021-05, Vol.14 (10), p.2852

2021

Volltextzugriff (PDF)

Automatic risk adjustment for profit maximization in renewable dominated short‐term electricity markets

International transactions on electrical energy systems, 2021-12, Vol.31 (12), p.n/a

2021

Volltextzugriff (PDF)

Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets

IEEE transactions on power systems, 2019-03, Vol.34 (2), p.1203-1215

2019

Volltextzugriff (PDF)

Infliximab Trough Levels at Induction to Predict Treatment Failure During Maintenance

Inflammatory bowel diseases, 2017-08, Vol.23 (8), p.1371-1381

2017

Volltextzugriff (PDF)

Probabilistic simulation framework for balanced and unbalanced low voltage networks

International journal of electrical power & energy systems, 2016-11, Vol.82, p.439-451

2016

Volltextzugriff (PDF)

Medium-Term Multimarket Optimization for Virtual Power Plants: A Stochastic-Based Decision Environment

IEEE transactions on power systems, 2018-03, Vol.33 (2), p.1399-1410

2018

Volltextzugriff (PDF)

1 – 25 von 83

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(63)
Mit Volltextzugriff
(68)

Publikationsform

Sprache

Englisch
(83)

Erscheinungsjahr

n.n

Thema

Science & Technology
(61)
Technology
(53)
Engineering
(42)
Engineering, Electrical & Electronic
(39)
Optimization
(22)
Energy & Fuels
(18)
Uncertainty
(13)
Energy Storage
(11)
Mathematical Models
(11)
Probabilistic Logic
(11)
Machine Learning
(10)
Real-Time Systems
(10)
Stochastic Processes
(10)
Algorithms
(8)
Costs
(8)
Predictive Models
(8)
Science & Technology - Other Topics
(8)
Wind Power
(8)
Deep Learning
(7)
Forecasting
(7)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(1)

Menü

Weitere Dienste

Einstellungen

Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation

Short-term nodal voltage forecasting for power distribution grids: An ensemble learning approach

Very-Short-Term Probabilistic Forecasting for a Risk-Aware Participation in the Single Price Imbalance Settlement

Neural network informed day-ahead scheduling of pumped hydro energy storage

Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities

An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision

Machine learning-assisted outage planning for maintenance activities in power systems with renewables

Offering and bidding for a wind producer paired with battery and CAES units considering battery degradation

New approach to determine the healthy immune variations by combining clustering methods

Recalibration of recurrent neural networks for short-term wind power forecasting

Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks

Robust voltage control algorithm incorporating model uncertainty impacts

Adequacy assessment using data-driven models to account for aerodynamic losses in offshore wind generation

Supervised learning-assisted modeling of flow-based domains in European resource adequacy assessments

Non-linear hybrid approach for the scheduling of merchant underground pumped hydro energy storage

Collecting New Peak and Intermediate Infliximab Levels to Predict Remission in Inflammatory Bowel Diseases

Enhanced integration of flow-based market coupling in short-term adequacy assessment

Batch Acquisition for Parallel Bayesian Optimization—Application to Hydro-Energy Storage Systems Scheduling

Sizing of underwater gravity storage with solid weights participating in electricity markets

Machine Learning-Based Classification of Electrical Low Voltage Cable Degradation

Automatic risk adjustment for profit maximization in renewable dominated short‐term electricity markets

Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets

Infliximab Trough Levels at Induction to Predict Treatment Failure During Maintenance

Probabilistic simulation framework for balanced and unbalanced low voltage networks

Medium-Term Multimarket Optimization for Virtual Power Plants: A Stochastic-Based Decision Environment

Suchergebnisse filtern