research
∙
12/18/2022
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
In this paper, we propose a new short-term load forecasting (STLF) model...
research
∙
03/17/2022
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study
This paper compares recurrent neural networks (RNNs) with different type...
research
∙
03/02/2022
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
Short-term load forecasting (STLF) is a challenging problem due to the c...
research
∙
12/05/2021
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting
Short-term load forecasting (STLF) is challenging due to complex time se...
research
∙
07/08/2021
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting
In this work, we propose an ensemble forecasting approach based on rando...
research
∙
09/24/2020
N-BEATS neural network for mid-term electricity load forecasting
We address the mid-term electricity load forecasting (MTLF) problem. Thi...
research
∙
04/22/2020
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting
This work presents a Long Short-Term Memory (LSTM) network for forecasti...
research
∙
03/29/2020
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods
This work presents ensemble forecasting of monthly electricity demand us...
research
∙
03/29/2020
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting
This work presents a hybrid and hierarchical deep learning model for mid...
research
∙
03/03/2020