Chaitanya-030/Solar-Panel-Optimization
In this project, we focused on optimizing the efficiency of solar panels. By employing various machine learning algorithms, including linear regression, decision trees, random forest, and LSTM, we aimed to predict the optimal tilt angle for solar panels. This optimal angle helps in maximizing the energy efficiency of the panels.
This project helps solar panel owners and operators maximize energy generation. It takes historical solar irradiance, weather conditions, and geographic information to predict the optimal tilt angle for solar panels. The output is an hourly, daily, or monthly optimal angle prediction, designed for anyone managing or installing photovoltaic (PV) systems.
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Use this if you want to optimize the tilt angle of your solar panels to significantly improve energy output throughout the day, month, or year.
Not ideal if you need a hardware system for automatic panel positioning or real-time dynamic adjustments based on live weather forecasts.
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Jun 24, 2024
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