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04/29/2022
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast
Task embeddings in multi-layer perceptrons for multi-task learning and i...
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04/28/2022
Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies
There is recent interest in using model hubs, a collection of pre-traine...
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04/01/2022
Synthetic Photovoltaic and Wind Power Forecasting Data
Photovoltaic and wind power forecasts in power systems with a high share...
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09/29/2020
Quantile Surfaces – Generalizing Quantile Regression to Multivariate Targets
In this article, we present a novel approach to multivariate probabilist...
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04/29/2020
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
Multi-task learning (mtl) provides state-of-the-art results in many appl...
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04/29/2020
Extended Coopetitive Soft Gating Ensemble
This article is about an extension of a recent ensemble method called Co...
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06/03/2019
Transfer Learning in the Field of Renewable Energies -- A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection
In recent years, transfer learning gained particular interest in the fie...
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06/03/2019
Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic
For the integration of renewable energy sources, power grid operators ne...
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05/31/2019
Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models
Despite the increasing importance of forecasts of renewable energy, curr...
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08/14/2018
Quantifying the Influences on Probabilistic Wind Power Forecasts
In recent years, probabilistic forecasts techniques were proposed in res...
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07/03/2018