Abstract Wind energy is renewable and clean energy. To improve the utilization efficiency of the wind energy, studies on wind energy forecasting have gradually been developed in recent years. In these studies, multi-objective optimization technologies have been widely discussed and developed, which can simultaneously improve forecasting performance in multiple aspects, such as accuracy and stability. In this paper, a comprehensive review on the multi-objective optimization technologies in the wind energy forecasting is made. This paper first briefly introduces the basic theories and methods related to the multi-objective optimization. Subsequently, according to different applications, the classification of objective functions is discussed. After describing the applications of the multi-objective optimization, the optimization results and performance improvements obtained in the references are summarized and compared. Finally, the future development of multi-objective optimization in the wind energy forecasting is given.

中文翻译：

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风能预测技术及应用中的多目标优化框架综述

摘要 风能是可再生的清洁能源。近年来，为提高风能的利用效率，风能预测研究逐渐兴起。在这些研究中，多目标优化技术得到了广泛的讨论和发展，可以同时提高预测精度和稳定性等多个方面的性能。本文对风能预测中的多目标优化技术进行了综述。本文首先简要介绍了与多目标优化相关的基本理论和方法。随后，根据不同的应用，讨论了目标函数的分类。在描述了多目标优化的应用之后，对参考文献中获得的优化结果和性能改进进行了总结和比较。最后，给出了风能预测中多目标优化的未来发展方向。