Machine Learning Wind Power Forecasting
- High level of accuracy and reliability
- Notification system
- Flexible day-ahead forecast mechanism
- Seamless integration
- Fully automated system
- Online updates around the clock
- User-friendly interface
- Affordable pricing
Meteo-Logic’s unique solution is specifically tailored to provide the wind-generated energy industry with highly accurate, localized, short-term power forecasting.
In a world where wind forecasting is volatile, and hence critical for the commercial operation of a facility, Meteo-Logic reduces risk and delivers more reliable forecasts by offering groundbreaking, accurate prediction for wind farm power generation based on the unique and proprietary MLF approach.
Rather than building complex and inherently inaccurate models from global weather models all the way down to turbines, Meteo-Logic’s MLF technology takes an innovative approach, assuming that making the correlation between the synoptic situation and measured values on the ground requires a special, complex model for every forecasting point. Meteo-Logic’s outstanding prediction algorithm, based on Bayesian statistics, enables constantly updated, accurate power and weather forecasts for specific locations.
Meteo-Logic provides 5-day ahead hourly forecasts which dramatically reduce financial uncertainty while maximizing profits and reducing direct and indirect expenses.
Accurate power forecasts allow operators to comply with the relevant utility service-level agreement (SLA) and avoid penalties arising from discrepancies between promised and actual delivery.
Meteo-Logic provides forecasts for the whole site as well as for each turbine separately, allowing operators to predict the exact output in advance and plan accordingly.
Weather forecasting is also available to track temperature, humidity, wind speed, wind direction and rain.
- Wind farm Turbine Power forecast, per single turbine and per Wind Farm
- Weather forecast, all relevant parameters
- 5 days ahead, hourly forecast
- Customized notifications for operational and maintenance use
- Personalized Day Ahead reports
Meteo-Logic provides an ongoing ranking system using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) to evaluate the forecast performance, comparing measured power generation with the predicted forecast.