Jens Schreiber

Orcid: 0000-0002-9979-8053

According to our database1, Jens Schreiber authored at least 11 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2022
Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies.
CoRR, 2022

Synthetic Photovoltaic and Wind Power Forecasting Data.
CoRR, 2022

2021
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020
Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets.
CoRR, 2020

Extended Coopetitive Soft Gating Ensemble.
CoRR, 2020

Emerging Relation Network and Task Embedding for Multi-Task Regression Problems.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
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

Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018
Quantifying the Influences on Probabilistic Wind Power Forecasts.
CoRR, 2018

Coopetitive Soft Gating Ensemble.
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018


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