Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France

14 April 2025

Papers citing "Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France"

11 / 11 papers shown

Title
WindDragon: Enhancing wind power forecasting with Automated Deep Learning Julie Keisler E. L. Naour 33 1 0 22 Feb 2024
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification A. Gijón Ainhoa Pujana-Goitia E. Perea Miguel Molina-Solana Juan Gómez-Romero 34 4 0 27 Jul 2023
Fast Linear Model Trees by PILOT Jakob Raymaekers P. Rousseeuw Tim Verdonck Ruicong Yao 25 8 0 08 Feb 2023
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 218 493 0 13 Jul 2021
Stochastic Threshold Model Trees: A Tree-Based Ensemble Method for Dealing with Extrapolation Kohei Numata Kenichi Tanaka 34 2 0 19 Sep 2020
Explainable boosted linear regression for time series forecasting Igor Ilic Berk Görgülü Mucahit Cevik M. Baydogan AI4TS 46 63 0 18 Sep 2020
Evaluating time series forecasting models: An empirical study on performance estimation methods Vítor Cerqueira Luís Torgo I. Mozetič AI4TS 26 256 0 28 May 2019
Regression-Enhanced Random Forests Haozhe Zhang D. Nettleton Zhengyuan Zhu 25 43 0 23 Apr 2019
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 591 15,876 0 12 Nov 2013
Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation E. Vladislavleva Tobias Friedrich Frank Neumann Markus Wagner 73 109 0 09 Sep 2011
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 205 3,594 0 27 Jul 2009