Published January 30, 2024 | Version v2
Dataset Open

Duferco forecast results using Kernel Ridge

Creators

  • 1. Duferco Energia SpA

Description

The data uploaded represent thirteen months of Duferco forecast (June 2021 - June 2022) using Kernel Ridge regression with hourly granularity for the Calabria wind farm.

The three csv files represents the three different methods developed and tested during the project:

  1. BL: Kernel Ridge regression with gaussian kernel (Baseline).
  2. PC: The Baseline method with the pre-processing of the data using the power curve.
  3. PC+K: The Baseline method with the pre-processing of the data using the power curve, and the post-processing of the forecast using Kalman smoothing filter.

 

Files

KRR_forecast_calabria_PC+K.csv

Files (1.1 MB)

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md5:e6dab3ce18d243fe06a40a331dea4e8a
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md5:db606be9268e3ab2ebf5c43ef00fb6cc
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md5:738112198e491ca2d6f015a0bcd2ffdb
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Additional details

Funding

European Commission
EVEREST – dEsign enVironmEnt foR Extreme-Scale big data analytics on heterogeneous platforms 957269