Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France

14 September 2020

Papers citing "Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France"

15 / 15 papers shown

Title
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting Keshav Das Julie Keisler Margaux Brégère Amaury Durand 85 0 0 31 Mar 2025
Forecasting time series with constraints Nathan Doumèche Francis Bach Éloi Bedek Gérard Biau Claire Boyer Y. Goude AI4TS 203 0 0 14 Feb 2025
Multi-task Online Learning for Probabilistic Load Forecasting Onintze Zaballa Verónica Álvarez Santiago Mazuelas 125 0 0 06 Feb 2025
Leveraging Graph Neural Networks to Forecast Electricity Consumption Eloi Campagne Yvenn Amara-Ouali Y. Goude Argyris Kalogeratos AI4TS 80 1 0 30 Aug 2024
News and Load: Social and Economic Drivers of Regional Multi-horizon Electricity Demand Forecasting Yun Bai Simon Camal A. Michiorri 40 0 0 09 Jun 2024
Efficient mid-term forecasting of hourly electricity load using generalized additive models Manuel Kansy F. Ziel AI4TS 79 3 0 27 May 2024
Adaptive time series forecasting with markovian variance switching Baptiste Abéles Joseph de Vilmarest Olivier Wintemberger AI4TS 61 1 0 22 Feb 2024
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition Yuqi Jiang Yan Li Yize Chen AI4TS 170 2 0 18 Feb 2024
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks Firas Bayram Phil Aupke Bestoun S. Ahmed A. Kassler A. Theocharis Jonas Forsman AI4TS 50 37 0 15 May 2023
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance Sotiris Pelekis Evangelos Karakolis Francisco Silva Vasileios Schoinas S. Mouzakitis Georgios Kormpakis N. Amaro J. Psarras AI4TS 64 15 0 25 Feb 2023
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models Guillaume Lambert Bachir Hamrouche Joseph de Vilmarest AI4TS 60 3 0 16 Feb 2023
Adaptive Probabilistic Forecasting of Electricity (Net-)Load Joseph de Vilmarest J. Browell Matteo Fasiolo Y. Goude Olivier Wintenberger 91 10 0 24 Jan 2023
News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand Yun Bai Simon Camal A. Michiorri 62 7 0 18 Jan 2023
Hierarchical transfer learning with applications for electricity load forecasting A. Antoniadis Solenne Gaucher Y. Goude AI4TS 66 11 0 16 Nov 2021
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting Joseph de Vilmarest Y. Goude 41 3 0 01 Oct 2021