Skilful seasonal prediction of winter gas demand

Services and Seasonal Demand

Seasonal prediction of winter extreme precipitation over Canada by support vector regression

For forecasting the maximum 5-day accumulated precipitation over the winter season at lead times of 3, 6, 9 and 12 months over Canada from 1950 to 2007, two nonlinear and two linear regression models were used, where the models were support vector regression (SVR) (nonlinear and linear versions), nonlinear Bayesian neural network (BNN) and multiple linear regression (MLR). The 118 stations were...

Year Ahead Demand Forecast of City Natural Gas Using Seasonal Time Series Methods

Consumption of natural gas, a major clean energy source, increases as energy demand increases. We studied specifically the Turkish natural gas market. Turkey’s natural gas consumption increased as well in parallel with the world‘s over the last decade. This consumption growth in Turkey has led to the formation of a market structure for the natural gas industry. This significant increase require...

Introducing sub-seasonal spatial and temporal resolution to winter climate prediction

[1] The dominant Northern Hemisphere winter mode of variability is characterized by a same-signed sea level pressure anomaly at high latitudes with an opposite-signed anomaly stretching across mid-latitudes. The surface temperature pattern associated with this mode is a samesigned temperature anomaly across the major continents and an opposite-signed anomaly across the major oceans. We demonstr...

Skilful prediction of Sahel summer rainfall on inter-annual and multi-year timescales

Summer rainfall in the Sahel region of Africa exhibits one of the largest signals of climatic variability and with a population reliant on agricultural productivity, the Sahel is particularly vulnerable to major droughts such as occurred in the 1970s and 1980s. Rainfall levels have subsequently recovered, but future projections remain uncertain. Here we show that Sahel rainfall is skilfully pre...