Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources

17 May 2023

Papers citing "Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources"

9 / 9 papers shown

Title
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers Muhammad Umair Danish Katarina Grolinger AI4TS 47 6 0 12 Jan 2025
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability Stefan Meisenbacher Kaleb Phipps Oskar Taubert Marie Weiel Markus Gotz Ralf Mikut V. Hagenmeyer 77 0 0 30 Nov 2024
Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study Robert Spencer Surangika Ranathunga Mikael Boulic Andries van Heerden AI4TS 142 0 0 18 Oct 2024
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey Qi Dong Rubing Huang Chenhui Cui Dave Towey Ling Zhou Jinyu Tian Jianzhou Wang AI4TS 29 1 0 29 Aug 2024
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support Felix Haag Carlo Stingl Katrin Zerfass K. Hopf Thorsten Staake 27 4 0 08 May 2024
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System Gargya Gokhale Jonas Van Gompel Bert Claessens Chris Develder AI4TS 15 3 0 29 Oct 2023
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series Alexandros-Menelaos Tzortzis Sotiris Pelekis Evangelos Spiliotis S. Mouzakitis J. Psarras D. Askounis AI4TS 18 13 0 24 Oct 2023
Transformer Training Strategies for Forecasting Multiple Load Time Series Matthias Hertel Maximilian Beichter Benedikt Heidrich Oliver Neumann Benjamin Schafer Ralf Mikut V. Hagenmeyer AI4TS 19 12 0 19 Jun 2023
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting K. Hopf Hannah Hartstang Thorsten Staake AI4TS 22 5 0 29 May 2023