Alberto Troccoli

TL;DR: This paper introduces the GEFCom2014, a probabilistic energy forecasting competition with four tracks on load, price, wind and solar forecasting, which attracted 581 participants from 61 countries and concludes with 12 predictions for the next decade of energy forecasting.

TL;DR: In this article, the authors present a review of the impacts that climate change may have throughout the energy chain and identify current knowledge gaps and areas for future research development, concluding that one of the greatest challenges is how to assess impacts which may occur as a consequence of the projected increase in the intensity of extreme weather events.

TL;DR: In this paper, a preliminary survey of different possible techniques that can improve long-term satellite-derived and model-derived solar radiation data through the use of short-term on-site ground measurements is presented.

TL;DR: In this article, the power generated by a modelled wind turbine under three different North Atlantic Oscillation (NAO) states is calculated and it is found that the wind conditions under these NAO states may yield a difference in the mean wind power output of up to 10%.

TL;DR: Harrison et al. as mentioned in this paper proposed a Coupled model for seasonal climate forecasting, which is based on the Atmospheric, Oceanic and Coupled System (AOCS) model.