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Services
Advantages
Complying with regulations
1.
Sending forecasting reports according to the format and schedule required by the authority.
2.
High-accuracy model
Use of proprietary algorithms based on Machine Learning techniques to adjust predictive models to actual data of each power plant.
3.
Maximizing performance
It allows scheduling of preventive maintenance on days of low resource availability and performance test on days of high availability.
Solar Energy Forecasting And Wind Energy Forecasting Service
Using a SaaS Platform, we calculate and send automatic generation forecasts for solar and wind energy plants in the format and schedule required by the authority. We have achieved the highest accuracy of prediction with unique Artificial Intelligence models by combining forecasting data provided by satellites with actual energy production data to comply with the regulations of each market and maximize the performance of the plants.
We have achieved +50% greater accuracy in comparison with the national Chilean mean error in photovoltaic power plants and +30% accuracy in the case of wind energy power plants.
Soiling Forecasting Service
We apply Artificial Intelligence and Machine Learning to predict soiling levels of photovoltaic parks allowing customers to optimise the amount and exact dates of cleanings of the photovoltaic panels, maximising the profitability of parks achieved by a system that performs weather forecasting allowing the scheduling of cleanings, achieving a 50%+ of savings in cleaning costs.
Advantages
Soiling model
1.
Using Machine Learning techniques, we make a soiling model that uses the photovoltaic park's historical information to analyse its performance.
2.
Calculation of economic losses
Calculates the financial terms of how much energy is generated by actual soiling levels of assets.
3.
Next cleaning schedule
Combines forecasting information provided by satellites to schedule the ideal date for the following cleaning of solar panels.