Developing a Dashboard To Enhance Visualization of Similar Historical Weather Patterns and Renewable Energy Generation

This paper presents a dashboard to find and compare days with similar weather patterns within an 80-year historical weather dataset. The dashboard facilitates the analysis of weather patterns and their impact on renewable energy generation by defining and identifying similar weather days. Users are given the flexibility to select the metric for determining similarity, which includes a combination of temperature, dew point, wind speed, Global Horizontal Irradiance (GHI), Direct Horizontal Irradiance (DHI), and cloud cover. The region for this work is limited to Texas. The dashboard then generates an output that compares the selected weather metrics and the corresponding renewable generation outputs.