IJF Special Section on Probabilistic Energy Forecasting: GEFCom2014 Papers and More

As of this week, 21 of the 22 papers for the IJF Special Section on Probabilistic Energy Forecasting are on ScienceDirect (link to the CFP). Many thanks to the GEFCom2014 organizers, participants, and the expert reviewers, whose time and effort warranted an exceptionally high quality collection of energy forecasting papers. Although these papers are not yet pagerized, I can't wait to compile and post this list.

Editorial and GEFCom2014 Introduction Article

• T. Hong, P. Pinson, S. Fan, H. Zareipour, A. Troccoli and R. J. Hyndman, "Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond" (the competition data is also available on ScienceDirect).

Review Article

• T. Hong and S. Fan, "Probabilistic electric load forecasting: A tutorial review"

Research Articles (Non-GEFCom2014)

• A. Antoniadis, X. Brossat, J. Cugliari and J. Poggi, "A prediction interval for a function-valued forecast model: Application to load forecasting"
• H. Akouemo and R. Povinelli, "Probabilistic anomaly detection in natural gas time series data"
• K. Maciejowska, J. Nowotarski and R. Weron, "Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging"
• A. Bello, J. Reneses, A. Muñoz and A. Delgadillo , "Probabilistic forecasting of hourly electricity prices in the medium-term using spatial interpolation techniques"
• E. Iversen, J. Morales, J. Møller and H. Madsen, "Short-term probabilistic forecasting of wind speed using stochastic differential equations"
• J. Jeon and J. Taylor, "Short-term density forecasting of wave energy using ARMA-GARCH models and kernel density estimation"

Research Articles (GEFCom2014)

• V. Dordonnat, A. Pichavant and A. Pierrot "GEFCom2014 probabilistic Electric load forecasting using time series and semi-parametric regression models"
• J. Xie and T. Hong, "GEFCom2014 probabilistic electric load forecasting: An integrated solution with forecast combination and residual simulation"
• S. Haben and G. Giasemidis, "A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting"
• E. Mangalova and O. Shesterneva, "Sequence of nonparametric models for GEFCom2014 probabilistic electric load forecasting"
• Florian Ziel and Bidong Liu, "Lasso estimation for GEFCom2014 probabilistic electric load forecasting"
• P. Gaillard, Y. Goude and R. Nedellec, "Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting"
• K. Maciejowska and J. Nowotarski, "A hybrid model for GEFCom2014 probabilistic electricity price forecasting"
• G. Dudek, "Multilayer perceptron for GEFCom2014 probabilistic electricity price forecasting"
• Mark Landry, Thomas P. Erlinger, David Patschke and Craig Varrichio, "Probabilistic gradient boosting machines for GEFCom2014 wind forecasting"
• E. Mangalova and O. Shesterneva, "K-nearest neighbors for GEFCom2014 probabilistic wind power forecasting"
• Y. Zhang and J. Wang, "K-nearest neighbors and kernel density estimator for GEFCom2014 probabilistic wind power forecasting"
• J. Huang and M. Perry, "A semi-empirical approach using gradient boosting and k-nearest neighbors regression for GEFCom2014 probabilistic solar power forecasting"
• G. Nagy, G. Barta, S. Kazi, G. Borbély and G. Simon, "GEFCom2014: Probabilistic solar and wind power forecasting using a generalized additive tree ensemble approach"
• R. Juban, H. Ohlsson, M. Maasoumy, L. Poirier and J. Z. Kolter,, "A multiple quantile regression approach to the wind, solar, and price tracks of GEFCom2014"

Enjoy reading and stay tuned for the next GEFCom!