We have developed a functional MVP for solar energy production forecasting, utilizing AI and machine learning models. The solution is designed to analyze weather patterns, historical production data, and real-time inputs to enhance energy output predictions for solar panel installations.
Currently, the MVP is untested in real-world company environments, and we are looking for partners and early adopters interested in validating and refining the model. We aim to collaborate with companies in renewable energy, sustainability, and grid optimization to test and improve accuracy.
If you are interested in optimizing solar energy generation and improving efficiency through AI-driven insights, we invite you to collaborate and test our solution
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