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Jens Schreiber

Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast

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Apr 29, 2022
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Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies

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Apr 28, 2022
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Synthetic Photovoltaic and Wind Power Forecasting Data

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Apr 01, 2022
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Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets

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Sep 29, 2020
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Emerging Relation Network and Task Embedding for Multi-Task Regression Problems

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Apr 29, 2020
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Extended Coopetitive Soft Gating Ensemble

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Apr 29, 2020
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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

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Jun 03, 2019
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Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic

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Jun 03, 2019
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Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models

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May 31, 2019
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Coopetitive Soft Gating Ensemble

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Aug 16, 2018
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