Model Monitoring (MLOps) and Forecast Accuracy
How Can Energy Production Forecasting Systems Remain Reliable in Live Environments? The Model Appears to Be Working. But Is It Truly Reliable? A production forecasting model deployed in a hydropower plant may initially demonstrate high accuracy. Achieving 90% accuracy on training data, low MAE, and stable performance charts can satisfy technical teams. However, three months […]
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Operator + AI Together
Operator + AI Together: Enhancing Hydropower Production Forecast Quality Through Human Approval (Human-in-the-Loop) Strategic Shift: From Pure AI Forecasting to Controlled Autonomy in Hydropower Production Hydropower production forecasting is no longer merely a question of “Can the AI generate an accurate prediction?” At the enterprise level, the real questions are far more structural: Under what […]
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