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Linear models are capable of capturing the Linear Deterministic (LD) component of the time series. In order to benefit from both Nonlinear Deterministic (ND) and LD components during the prediction procedure, it is necessary to employ nonlinear models. The complexity of the prediction algorithm...
Persistent link: https://www.econbiz.de/10010931107
This paper proposes two general procedures to develop wind speed models based on stochastic differential equations. Models are intended to generate wind speed trajectories with statistical properties similar to those observed in the wind speed historical data available for a particular location....
Persistent link: https://www.econbiz.de/10011040589
A wind clustering methodology capable of dynamically characterizing and long-term reconstructing daily surface wind series is introduced and tested for six meteorological towers at different wind farms in Spain, for the period 1871–2009. On this basis this paper provides for the first time a...
Persistent link: https://www.econbiz.de/10011040840
To obtain, over medium term periods, wind speed time series on a site, located in the southern part of the Paris region (France), where long recording are not available, but where nearby meteorological stations provide large series of data, use was made of ANN based models. The performance of...
Persistent link: https://www.econbiz.de/10011044294
The capacity of the Mexican electricity sector faces the challenge of satisfying the demand of the 80GW forecast by 2016. This value supposes a steady yearly average increase of some 4.9%. The electricity sector increases for the next eight years will be mainly made up of combined cycle power...
Persistent link: https://www.econbiz.de/10011044356
The wind energy potential for generation of electricity and for domestic water pumping has been investigated for Marsabit, Kenya. Marsabit (37° 58′N, 2° 19′E) lies in Eastern province approximately 560km from Nairobi. Wind data from the Kenya Meteorological department for the period...
Persistent link: https://www.econbiz.de/10011044533
The impact of topography on the diurnal patterns of surface flow is of great importance, significantly modifying the wind speed spatial distribution and the vertical structure of the lower atmosphere. In this work, two feed forward neural network architectures are examined for their ability to...
Persistent link: https://www.econbiz.de/10011044684
Wind energy potential in various parts of Turkey is becoming economical due to reductions in the wind turbine costs, and in fossil fuel atmospheric pollution. The global change program imposes restrictions for use of alternative renewable and environmentally friendly energy sources. Wind energy...
Persistent link: https://www.econbiz.de/10011044997
Electricity plays an important role in the socioeconomic growth and social prosperity of any country. It is to be considered as the basic need for human development. Nowadays, low production of electricity is a serious problem in Pakistan, which directly restricts the development of the state....
Persistent link: https://www.econbiz.de/10011937692
This paper presents an overview of existing research on wind speed and power forecasting. It first discusses state-of-the-art wind speed and power forecasting approaches. Then, forecasting accuracy is presented based on variable factors. Finally, potential techniques to improve the accuracy of...
Persistent link: https://www.econbiz.de/10010744045