ABSTRACT

A correlation analysis based on Markowitz Portfolio Theory and data from meteorological station are used to develop a decision-making tool for the optimal spatial installation of renewable energy sources from Wind turbines and PV panels. A case study involving power generation plants and weather stations in the region of Tuscany in Italy is developed. The results show that temporal correlations of solar and wind generation profiles are characterized by correlation and anticorrelation. This feature is used for supporting decision-making on investments in renewable energy at the territorial level.

中文翻译：

---

区域层面可再生能源规划的数据驱动方法

摘要

基于 Markowitz 投资组合理论和气象站数据的相关性分析用于开发决策工具，以优化风力涡轮机和光伏电池板可再生能源的空间安装。开发了一个涉及意大利托斯卡纳地区发电厂和气象站的案例研究。结果表明，太阳能和风力发电剖面的时间相关性具有相关性和反相关性。此功能用于支持地区层面的可再生能源投资决策。