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Short-Term Wind Energy Forecasting

机译:短期风能预测

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As the world strives to identify and develop sustainable alternatives to fossil fuels a fundamental obstacle to successful integration has been the inability to accurately estimate the potential yield from sustainable energy sources. The most difficult of all sustainable resources is Wind, due to its dynamic nature. Many approaches exist to generate forecasts for wind regime. In general, these models can be classified as either involving a Numerical Weather Prediction model (NWP) or not. The past fifteen years have been a very intensive period for forecasting research and development. However, it is also clearly demonstrated that this work is being carried out from the perspective of the large utility. Whilst this is acceptable in the Danish, Swedish and American markets, were the majority of wind parks are owned and operated by such organizations, it does not hold true for developing markets where the majority of wind parks are under the operational control of smaller organizations, which do not have sufficient expertise or budgetary ability to pursue such ambitious projects. This study presents a number of methodologies for forecast generation and compares the approaches to the industry standard across a variety of forecast horizons.
机译:由于世界努力识别和发展化石燃料的可持续替代品,成功融合的根本障碍是无法准确估计可持续能源的潜在产量。由于其动态性质,所有可持续资源最困难的是风。存在许多方法以产生风力制度的预测。通常,这些模型可以被归类为涉及数字天气预报模型(NWP)。过去的十五年一直是预测研究和发展的强烈时间。然而,还清楚地证明了这项工作是从大型公用事业的角度进行的。虽然这是在丹麦语,瑞典和美国市场可以接受的虽然大多数风园由这些组织拥有和运营,但对于开发市场的发展市场并没有成为较小组织的运作控制的市场,这没有足够的专业知识或预算能力来追求这种雄心勃勃的项目。本研究提出了许多预测发电方法,并将其跨各种预测视野的行业标准的方法进行比较。

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