The Story
This energy services provider wanted to accurately predict renewable energy production and demand with minimal forecasting errors. Chesamel helped the client achieve this by utilising AI for smart grid control.
Impact
The solution achieved a heuristic pipeline that estimated the equilibrium between demand and supply, resulting in PV output and consumption predictions with only 10% and 5% forecasting errors, respectively.
Methodology
We worked with the client to implement AI-driven forecasting models that can predict renewable energy production (PV, Wind) and energy demand, helping balance supply and demand for optimal energy management.
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