Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series

24 October 2023

Papers citing "Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series"

7 / 7 papers shown

Title
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources Elena Giacomazzi Felix Haag K. Hopf 63 28 0 17 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 57 15 0 25 Feb 2023
A Review of Deep Transfer Learning and Recent Advancements Mohammadreza Iman Khaled Rasheed H. Arabnia 75 377 0 19 Jan 2022
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model? Juyong Lee Youngsang Cho 27 91 0 30 Jun 2021
Transfer Learning for Electricity Price Forecasting Salih Gündüz Umut Ugurlu Ilkay Oksuz AI4TS 36 25 0 05 Jul 2020
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 192 4,474 0 07 Nov 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 676 5,872 0 25 Jul 2019