Author:
Wang Yu,Wang Deji,Zhao Jianghai,Zhu Changan
Abstract
Abstract
Accurate wind speed prediction plays an important role in the planning and development of wind power plant. Wind speed prediction can reduce the impact of wind power grid connection and improve the control of wind power systems. In this study, wind speed is considered as a geographical variable. We firstly used exploratory methods to examine the spatio-temporal dependence on wind field. The variogram was taken into account in analysing the spatial structure in the rectangular grid. Then the exponential model was adopted to fit the anisotropic feature of variogram. The de-trended data have been computed by using a geostatistical kriging estimator. The results were compared with the leave-one-out cross-validation (LOOCV) method. The accuracy of the proposed method was verified to obtain the best estimated results.
Reference30 articles.
1. Europe, China and the United States: Three different approaches to the development of offshore wind energy;deCastro;Renew Sustain Energy Rev,2019
2. Accelerating India’s Energy Sector to Sustainable Sources;Giri,2020
3. The challenge of integrating offshore wind power in the U.S. electric grid;Simâo;Part II: Simulation of electricity market operations. Renew Energy,2017
4. The Economics of Wind Energy;Martin;J Appl Corp Financ,2009
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