Jens Schreiber

16 papers B 1Journal 11Unranked 4

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