Probabilistic Energy Forecasting
The International Journal of Forecasting is calling for papers on probabilistic energy forecasting. Here are the details (taken from Tao Hong’s blog).
In today’s competitive and dynamic environment, more and more decision making processes in the energy industry are relying on probabilistic forecasts. The applications of probabilistic energy forecasts spread across planning and operations of the entire energy value chain. We are seeking papers from researchers working on the areas of probabilistic energy forecasting. “Energy forecasting” refers to “forecasting in the energy industry”, which includes but is not limited to forecasting supply, demand and price of electricity, gas, water, and renewable energy resources. The probabilistic forecasts can take various forms, e.g., from quantile to full density forecasts, probabilistic forecasts for multi-categorical variables or functional data.
The potential topics include:
Accounting for complex and uncertain inputs, such as weather and economy, in energy forecasting;
Probabilistic energy forecasting for specific decision-making processes, such as energy trading, market operations, system planning and operations, and financial planning;
Evaluation and verification of probabilistic energy forecasts, especially in the multivariate case
Ensemble probabilistic energy forecasts and approaches to calibration
Normalization of energy supply, demand and price.
If you are interested in contributing a paper to this special issue, please submit a one-page extended abstract with a cover letter to both editors for an initial review. Authors of selected abstracts will be invited to submit full papers to the International Journal of Forecasting. In addition, winners of the Global Energy Forecasting Competition 2014 (www.gefcom.org) will be invited to contribute to this special issue as well.
The proposed schedule is listed below:
Abstract due: Jan 31st, 2014
Initial review due: Mar 31st, 2014
Full paper due: July 31st, 2014
Notification of first round decision: Oct 31st, 2014
Notification of final decisions: Mar 31st, 2015
Editors:
Prof. Tao Hong, University of North Carolina at Charlotte, USA (hong@uncc.edu) Prof. Pierre Pinson, Technical University of Denmark, Denmark (ppin@elektro.dtu.dk)