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• ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
  2022 · 14 citations
• ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting
  2021 · 7 citations
• Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach
  2017 · 4 citations
• Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
  2024 · 4 citations
• A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting
  2020 · 1 citations
• Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
  2024 · 1 citations
• Probabilistic Multi-Regional Solar Power Forecasting with Any-Quantile Recurrent Neural Networks
  2026
• Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study
  2022
• Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
  2022
• Local and Global Trend Bayesian Exponential Smoothing Models
  2023
• Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model
  2024