The tool is designed for industrial energy coordinators, plant managers, engineers, and personnel who are interested in improving system efficiency to help them benchmark, baseline, and visualize their energy and utility bills and use.
When building the weather data server we should flag or rate the quality of data for each weather station. If a certain criteria isn't met then we can omit the station all together. For example, if there is significant gaps (years) of missing data or it hasn't been updated past a certain date, then we can filter those out.
When building the weather data server we should flag or rate the quality of data for each weather station. If a certain criteria isn't met then we can omit the station all together. For example, if there is significant gaps (years) of missing data or it hasn't been updated past a certain date, then we can filter those out.