ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting

5 December 2021

Papers citing "ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting"

7 / 7 papers shown

Title
Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 72 1 0 11 Apr 2025
Zero-Shot Load Forecasting with Large Language Models Wenlong Liao Zhe Yang Mengshuo Jia Christian Rehtanz Jiannong Fang F. Porté-Agel BDL 132 0 0 18 Nov 2024
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand Slawek Smyl Boris N. Oreshkin Paweł Pełka Grzegorz Dudek AI4TS 76 0 0 26 Apr 2024
TimeGPT in Load Forecasting: A Large Time Series Model Perspective Wenlong Liao F. Porté-Agel Jiannong Fang Christian Rehtanz Shouxiang Wang Dechang Yang Zhe Yang AI4TS 48 15 0 07 Apr 2024
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 74 14 0 18 Dec 2022
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study Grzegorz Dudek Slawek Smyl Paweł Pełka AI4TS 49 1 0 17 Mar 2022
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 61 11 0 02 Mar 2022