Now showing items 1-10 of 441
On the forecasting of the challenging world future scenarios
(Elsevier Science IncNew YorkEUA, 2011)
Emerging Requirements for Technology Management: A Sector-based Scenario Planning Approach
(Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
Two-stage robust UC including a novel scenario-based uncertainty model for wind power applications
The complex processes involved in the determination of the availability of power from renewable energy sources, such as wind power, impose great challenges in the forecasting processes carried out by transmission system ...
Advancing Climate Forecasting
(American Geophysical Union, 2017-11)
Climate forecasts predict weather averages and other climatic properties from a few weeks to a few years in advance. Increasingly, forecasters are using comprehensive models of Earth?s climate system to make such predictions. ...
Linking weather generators and crop models for assessment of climate forecast outcomes
(Elsevier Science, 2010-02)
Agricultural production responses to climate variability require salient information to support decisions. We coupled a new hybrid stochastic weather generator (combining parametric and nonparametric components) with a ...
FORECASTING OF PETROLEUM CONSUMPTION IN BRAZIL USING THE INTENSITY OF ENERGY TECHNIQUE
(Butterworth-heinemann LtdOxfordInglaterra, 1993)
Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system
(European Geosciences Union, 2018)
The relative roles of statistical weather preprocessing and streamflow postprocessing in hydrological ensemble forecasting at short-to medium-range forecast lead times (day 1-7) are investigated. For this purpose, a regional ...
Projection Of Fossil Fuels Consumption In The Venezuelan Electricity Generation Industry
(PERGAMON-ELSEVIER SCIENCE LTDOXFORD, 2016)
Agrometeorological models for forecasting coffee yield
Some forecasting techniques have been tested with crop models using various statistical analyses for generating future scenarios of yield (Y). Forecasting, however, can be achieved by simply using regression analysis and ...
Climate change and electricity demand in Brazil: a stochastic approach
(Pergamon-Elsevier Science Ltd, 2016-05-01)
We present a framework for incorporating weather uncertainty into electricity demand forecasting when weather patterns cannot be assumed to be stable, such as in climate change scenarios. This is done by first calibrating ...