Energyforecasting

La demanda en energía en la península en el mes de noviembre se estimó en 19.834 GWh, un 0,2% superior a la registrada en el mismo mes del año anterior.

SAS to predict energy demand for marketplace decision making. It will be a major breakthrough in the field of energy forecasting solutions.

Long term predictions, over, say, a 30 year period, are more attainable, but no one is really able to make an energy price forecast saying what will be in just 12 months’ time.

Rapid variations in solar outputs increase the importance in science advances in energy forecasting solutions. This kind of forecasting will make solar a better deal for ratepayers and give utilities and grid operators new ways to improve reliability.

The variations in solar energy go from the shifting clouds to the convection in clear days –the upward motion caused by surface heating – that cause less dense warm air to rise, cool, and condense. The convection occurs when the water vapor particles are condensed into clouds and this block the sun in the afternoon and reduce the amount of solar energy generated electricity produced.