The client is a large Power Company that generates and distributes power from traditional as well as alternative sources such as Solar, Wind, etc. The main challenge for them was how to balance Power scheduling / allocation between traditional energy and alternative energy. This was due to the daily unpredictable variations from their solar Power generation. This required accurate solar power generation prediction based on geographical parameters like longitude, latitude, weather, sun intensity, cloud cover, relative humidity etc. After a detailed evaluation of their operations, AI Labs used its proprietary Minsky AI Engine to optimize the models by using a combination of AI algorithms and prediction attributes. In this case, Minsky used historical power generation data along with other weather related attributes for model creation. Weather forecast data was then used in conjunction with the Minsky models to predict Solar Power Generation for future dates. This solution was optimized and implemented in less than a week.
Typical Alternative Energy Forecast Challenges:
Getting Accurate Long term Weather forecasts
Getting Accurate Sun Intensity and Solar angle forecasts.
Variations of solar generations based on manufacturer/ technology
Variations in AI Models based on Geo locations.
Interruption in daily activities.