Today, the backend was improved to accurately merge Live and Forecast solar data by aligning entries based on the Period End timestamp and using pandas’ mask method to replace missing values. This resolved the issue of NaN values in the API responses, ensuring that both live and forecast estimates are correctly combined.

Additionally, the frontend React components were updated to handle the revised data structure, allowing the dashboard to display complete and accurate solar energy information. As a result, the dashboard now successfully integrates and presents both live and forecast data without any errors.