| Vol-1972 urn:nbn:de:0074-1972-6 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# ECML-PKDD-DCs 2017
ECML/PKDD 2017 Discovery Challenges

### Proceedings of the ECML/PKDD Discovery Challenges
co-located with European Conference on Machine Learning - Principle and Practice of Knowledge Discovery in Database (ECML PKDD 2017)

### Skopje, Macedonia, September 18, 2017.

Edited by

### Roberto Corizzo *
Dino Ienco **

* University of Bari Aldo Moro, Department of Computer Science, 70125 Bari, Italy
** IRSTEA - UMR TETIS, 500, Rue Jean François Breton, 34000 Montpellier, France

## Table of Contents

- Preface

### Discovery Challenge 1: Multi-Plant Photovoltaic Energy Forecasting Challenge

- Multi-Plant Photovoltaic Energy Forecasting Challenge: Second Place Solution
  Cléement Gautrais, Yann Dauxais, Mäel Guilleme
- Finding Relevant Multivariate Models for Multi-plant Photovoltaic Energy Forecasting
  Youssef Hmamouche, Piotr Przymus, Lotfi Lakhal, Alain Casali
- Multi-Plant Photovoltaic Energy Forecasting Challenge with Regression Tree Ensembles and Hourly Average Forecasts
  Kathrin Bujna, Martin Wistuba

### Discovery Challenge 2: Time Series Land Cover Classification Challenge (TiSeLaC)

- End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification
  Nicola Di Mauro, Antonio Vergari, Teresa M.A. Basile, Fabrizio G. Ventola, Floriana Esposito
- Temporal and spatial approaches for land cover classification
  Ryabukhin Sergey

2017-10-27: submitted by Dino Ienco, metadata incl. bibliographic data published under Creative Commons CC0
2017-10-28: published on CEUR-WS.org |valid HTML5|