风电功率预测

通过多种气象数据源，结合风电新能源行业特点，形成高精度的数值气象预报，搭配丰富的机器学习算法模型库，为新能源电场，提供中长期、中短期、超短期等多种时间维度的发电预测服务。

Leveraging multiple meteorological data sources and integrating the characteristics of the wind power new energy industry, this dataset generates high-precision numerical weather forecasts. Backed by a rich library of machine learning algorithm models, it provides power prediction services covering multiple time dimensions including medium-to-long term, medium-short term and ultra-short term for new energy power plants.

搜集汇总

背景与挑战

背景概述

该数据集由厦门四小碗科技有限公司提供，主要用于风电功率预测。它结合多种气象数据源和机器学习算法，为新能源电场提供不同时间维度的发电预测服务。