This platform allows to simulate the amount of energy produced by a photostatic energy system. It extracts weather data from Grib files (binary format of weather data). Based on this data and geographic coordinates the system computes how much energy a PV installation is able to produce for particular weather conditions and location. Finally, it generates a graphical report to present this data on charts.
SolarData is used to evaluate current performance and determine the future value of PV generation projects (expressed as the predicted energy yield) and, by extension, influence how PV projects and technologies are perceived in terms of investment risk.
The goal of this project was to develop an anomaly detection pipeline for business intelligence systems in order to trigger a BI report distribution - via slack or e-mail - when an anomalous situation was detected or send an alert to predefined groups of managers.
The system was designed to collect data online from various BI reporting systems (e.g., Tableau ). The data was later modelled as time series and stored in InfluxDB, following data was send to a stream processing engine called Kapacitor.