The problem it solves
SolarTrack helps users monitor solar energy potential by providing real-time data on solar irradiation. This can assist in optimizing the placement of solar panels, predicting energy production, and improving the efficiency of solar energy systems.
Optimization: Users can optimize the positioning of solar panels to maximize energy output.
Energy Forecasting: SolarTrack predicts daily energy generation, helping users plan energy consumption and storage.
Sustainability: Encourages the use of solar energy by providing easy access to critical data for both small- and large-scale solar projects.
hallenges we ran into
While developing SolarTrack, we encountered several challenges:
Data Accuracy: Integrating reliable weather APIs and ensuring accurate solar irradiation measurements in varying conditions was a challenge.
Solution: We fine-tuned data collection algorithms and validated the accuracy by cross-referencing multiple data sources.
Real-Time Processing: Processing and displaying real-time data without lag required efficient backend handling.
Solution: We optimized the data pipeline using asynchronous programming techniques to handle high volumes of incoming data from sensors.
Energy Efficiency of the System: SolarTrack itself needs to be energy-efficient to make the system sustainable.
Solution: We designed the system to use low-power IoT sensors and energy-efficient cloud services for data processing.
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