Jens Schreiber

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 16

Top Topics

Quantile Regression

Transfer Learning

Learning Problems

Top Venues

FAS*W@SASO/ICAC

Publications

Jens Schreiber, Bernhard Sick
Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies. CoRR (2022)
Jens Schreiber, Stephan Vogt, Bernhard Sick
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast. CoRR (2022)
Stephan Vogt, Jens Schreiber, Bernhard Sick
Synthetic Photovoltaic and Wind Power Forecasting Data. CoRR (2022)
Jens Schreiber, Stephan Vogt, Bernhard Sick
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast. ECML/PKDD (4) (2021)
Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick
Extended Coopetitive Soft Gating Ensemble. CoRR (2020)
Jens Schreiber, Bernhard Sick
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. ICPR (2020)
Jens Schreiber, Bernhard Sick
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. CoRR (2020)
Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets. CoRR (2020)
Jens Schreiber, Artjom Buschin, Bernhard Sick
Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. GI-Jahrestagung (2019)
Jens Schreiber
Transfer Learning in the Field of Renewable Energies - A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid. CoRR (2019)
Jens Schreiber, Maik Jessulat, Bernhard Sick
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. ICANN (3) (2019)
Jens Schreiber, Maik Jessulat, Bernhard Sick
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. CoRR (2019)
Jens Schreiber, Artjom Buschin, Bernhard Sick
Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. CoRR (2019)
Jens Schreiber, Bernhard Sick
Quantifying the Influences on Probabilistic Wind Power Forecasts. CoRR (2018)
Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick
Coopetitive Soft Gating Ensemble. CoRR (2018)
Jens Schreiber, Maarten Bieshaar, Andre Gensler, Bernhard Sick, Stephan Deist
Coopetitive Soft Gating Ensemble. FAS*W@SASO/ICAC (2018)