Power Forecasting
Hyper accurate

Power Forecasting

Our Power Forecasting services allows renewable asset owners to reduce the cost of variability of the power output of their large scale wind- and solar farms. It produces highly accurate and reliable short term (intra-day, day-ahead and week-ahead) power forecasts based on asset telemetry and numerical weather forecasts.

We use deep learning models with probabilistic distributional modelling trained on a variety of weather forecasts and historical power to ensure optimal performance. Our models don’t come out of a formatted pipeline. We handcraft them. We know different customers will have different requirements.

More accurate forecasts, calibrated for you

Accurate short term forecasting of the power output from renewable assets is crucial in mitigating the effects of their innate variability. In this example, the deployment of our Power Forecasting reduced the imbalance costs and penalties incurred by a large utility by 15% across the assets on which it was deployed. Higher accuracy leads to a lower Normalized Mean Average Error, and a probabilistic forecast rather than a deterministic one leads to increased confidence and better trade-offs when the power volume is brought to the market.

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Better Maintenance Scheduling

Combined with the output from Canopy, our Power Forecasting service helps in optimising maintenance planning, thus greatly reducing the loss of revenue from maintenance downtime, either scheduled or unscheduled.

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Delivery to your workflow

Our forecasts can be delivered in the rhythm that fits your organisation. Whether you prefer to have results emailed, uploaded via s/FTP, AWS S3, Azure Blob, Sharepoint or via our own Canopy dashboard.

Alternatively, our REST-API allows you to program your own applications with full flexibility in query frequencies and which quantile(s) you need.

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Deterministic or Probabilistic

We offer full probabilistic distribution modelling: ideal for optimal risk management with asymmetric penalties. Confidence intervals and other statistical information can be set up to match your exact needs, allowing you to reap all the benefits from a full probabilistic solution.

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