Forecasting System for Solar Facilities
Dogugun Ozkaya
Data Scientist
ML Engineer
Data Engineer
MongoDB
Python
Redis
Amperecloud
Created time series analytical modules to enable customers to monitor the performance of their PV-energy facilities.
Designed and developed time series forecasting models for both power generation and power loss based on seasonal and irradiation data.
Developed a comprehensive loss forecast model, coupled with a shading detection algorithm, to detect and classify loss amounts effectively.
Established a streamlined data pipeline, optimizing data collection from MongoDB and VictoriaMetrics into Redis for efficient utilization in analytical tasks.
