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Significant wave height and energy flux estimation with a Genetic Fuzzy System for regression

机译：遗传模糊系统用于估计重要的波高和能量通量

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This paper proposes a regression Genetic Fuzzy System (GFS, FRULER) for a problem of sea wave parameters estimation from neighbor buoys, with application on wave energy systems. FRULER is a recently proposed, three-staged algorithm that combines an instance selection method for regression, a multigranularity fuzzy discretization of the input variables and an evolutionary algorithm to generate accurate and simple Takagi-Sugeno-Kant (TSK) fuzzy rules. We have applied FRULER to a real problem of significant wave height and energy flux prediction in one buoy of the West Coast of the USA (California), from values of other two neighbor buoys. In the case of the significant wave height, FRULER is able to obtain a robust prediction with only three rules, which in addition are fully interpretable, since they clearly separate swell situations from wind-sea in the prediction. In both cases, the variables used in the significant wave prediction are completely different and can be identified as relevant for the specific case (swell or wind-sea). In the case of the energy flux prediction, the interpretation of the rules provided by FRULER is more difficult, since eight rules are necessary to obtain the prediction. Even in this case, several rules can be clearly classified as swell predictors, and the rest of the rules describe local wind situation of waves. This study shows that the GFSs are useful tools to obtain robust and interpretable predictions in ocean wave parameter estimation problems.
机译：针对邻域浮标海浪参数估计问题，本文提出了一种回归遗传模糊系统（GFS，FRULER），并在波浪能系统中进行了应用。 FRULER是最近提出的一种三阶段算法，该算法结合了用于回归的实例选择方法，输入变量的多粒度模糊离散化和一种进化算法，可生成准确而又简单的Takagi-Sugeno-Kant（TSK）模糊规则。我们已将FRULER应用于美国西海岸（加利福尼亚）一个浮标中来自其他两个相邻浮标的实际波高和能量通量预测的实际问题。在明显的波高的情况下，FRULER仅用三个规则就可以得到可靠的预测，此外，这三个规则可以完全解释，因为它们在预测中清楚地将涨潮情况与风浪分开。在这两种情况下，重大波浪预测中使用的变量完全不同，可以将其识别为与特定情况（浪潮或风浪）相关。在能量通量预测的情况下，对FRULER提供的规则的解释更加困难，因为获得该预测需要八个规则。即使在这种情况下，也可以将几条规则明确地分类为膨胀预测指标，而其余规则则描述了波浪的局部风向。这项研究表明，GFS是获得海浪参数估计问题中可靠且可解释的预测的有用工具。

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