Increasing the Accuracy of Hourly Multi-Output Solar Power Forecast with Physics-Informed Machine Learning.
Daniel Vázquez PomboHenrik W. BindnerSergiu Viorel SpataruPoul Ejnar SørensenPeder BacherPublished in: Sensors (2022)
Keyphrases
- machine learning
- load forecasting
- short term
- high accuracy
- computer science
- prediction accuracy
- learning algorithm
- artificial intelligence
- solar energy
- pattern recognition
- text mining
- information extraction
- classification accuracy
- high precision
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- explanation based learning
- semi supervised learning
- long term
- natural language
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- active learning
- inductive learning
- decision trees
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- computer vision
- energy supply