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Building power demand forecasting
it - Information Technology, 2016Abstract Buildings acting as flexible loads have been often proposed to mitigate the volatility of renewable energy sources. Thereby, an accurate short-term demand forecast is indispensable for effective demand side management. At the same time, standardized load profiles, commonly used in the distribution grid, are inadequate for load ...
Valgaev, Oleg, Kupzog, Friederich
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2022
Power generation from solar and wind energy systems is highly variable due to its dependence on meteorological conditions. An efficient use of these fluctuating energy sources requires reliable forecast information for management and operation strategies.
Visser, Lennard +3 more
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Power generation from solar and wind energy systems is highly variable due to its dependence on meteorological conditions. An efficient use of these fluctuating energy sources requires reliable forecast information for management and operation strategies.
Visser, Lennard +3 more
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PV power forecast error simulation model
2015 12th International Conference on the European Energy Market (EEM), 2015Presence of solar energy driven power sources has been increasing with remarkable trends in recent years. Such growth is mostly related to photovoltaic generation and it is a direct consequence of significant fall in costs for this technology. Such generation, together with load and wind power, requires forecasting in day-ahead operation planning ...
Jakus, Damir +2 more
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2007
While considerable progress has been made in wind power forecasting in the last decade or so, in terms of better understanding of the processes involved and higher accuracy of the forecasts, there is still plenty of scope for improvement. Clearly forecasts for the wind power production of whole regions or supply areas are more accurate than forecasts ...
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While considerable progress has been made in wind power forecasting in the last decade or so, in terms of better understanding of the processes involved and higher accuracy of the forecasts, there is still plenty of scope for improvement. Clearly forecasts for the wind power production of whole regions or supply areas are more accurate than forecasts ...
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PROBABILISTIC WIND POWER FORECASTING USING A SINGLE FORECAST
International Journal of Energy and Statistics, 2013This paper develops a new approach for producing probabilistic wind power forecasts using a single forecast. The Singular Spectrum Analysis technique is used as the forecasting technique. Given the confidence interval calculated for the single forecast, a large number of random forecasts were generated through the Monte Carlo method.
MEYSAM QADRDAN +2 more
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RS-SVM forecasting model and power supply-demand forecast
Journal of Central South University of Technology, 2011A support vector machine (SVM) forecasting model based on rough set (RS) data preprocess was proposed by combining the rough set attribute reduction and the support vector machine regression algorithm, because there are strong complementarities between two models. Firstly, the rough set was used to reduce the condition attributes, then to eliminate the
Shu-xia Yang +3 more
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Forecasts of power‐transformed series
Journal of Forecasting, 1987AbstractConsider a time series transformed by an instantaneous power function of the Box‐Cox type. For a wide range of fractional powers, this paper gives the relative bias in original metric forecasts due to use of the simple inverse retransformation when minimum mean squared error (conditional mean) forecasts are optimal.
Alan Pankratz, Underwood Dudley
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Wind Power Ensemble Forecasting
2019Zugleich: Dissertation, Universität Kassel ...
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