Multi-Plant Photovoltaic Energy Forecasting Challenge: Second place solution

Clément Gautrais 1, 2 Yann Dauxais 1, 2 Maël Guilleme 1, 2
2 LACODAM - Large Scale Collaborative Data Mining
Inria Rennes – Bretagne Atlantique , IRISA_D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : This paper presents the approach we took to solve the Multi-Plant Photovoltaic Energy Forecasting Challenge for ECML/PKDD 2017. The approach we took granted us the second place of that challenge. In the paper, we will present how we moved from standard regression techniques to simple function optimization to tackle the challenge.
Document type :
Conference papers
Complete list of metadatas

Cited literature [7 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01639813
Contributor : Clément Gautrais <>
Submitted on : Monday, November 20, 2017 - 4:06:41 PM
Last modification on : Monday, April 1, 2019 - 12:46:09 PM
Long-term archiving on : Wednesday, February 21, 2018 - 2:48:51 PM

File

paper.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01639813, version 1

Citation

Clément Gautrais, Yann Dauxais, Maël Guilleme. Multi-Plant Photovoltaic Energy Forecasting Challenge: Second place solution. Discovery Challenges co-located with European Conference on Machine Learning - Principle and Practice of Knowledge Discovery in Database, Sep 2017, Skopje, Macedonia. ⟨hal-01639813⟩

Share

Metrics

Record views

616

Files downloads

74