Solar energy optimization and production
3' read
Problem
Challenges to demand plan for solar energy consumption due to anomalous and extreme weather conditions leading to blackouts, grid instability and inefficient energy storage optimization.
Solution
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Collected large historical data sample and built live feed to Solar energy predictors such as temperature, humidity, solar irradiance.
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Generative AI models identified additional features to account for emerging weather patterns and randomness.
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Used Ensemble methods via SVM and Artificial Neural Networks to have multiple model outputs, handle randomness in data, outliers and noisy data.
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Deployed on existing AWS Cloud seamlessly integrating into existing infrastructure, centralizing management / monitoring and connecting with existing processes.
Impact
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Increased energy optimization: enabled to take advantage of high periods
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Reduced reliance on non-renewable resources in low period
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Reduction of blackouts & disruptions across grid
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Demonstrated investment case for expansion of solar energy infrastructure
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