There are several publications available about using neuronal network / AI to predict solar plant power / energy output based on 24h weater forecast. The idea is to build up an algorithm that can be trained with daily quarter hourly or hourly values measured from solar plant and 24h weather forecast, which predicts solar plant power energy reliable (in about 20% of daily real value). The algorithm must allow daily training of about 10k plants on a daily basis on a normal xeon quad core processor (3ghz).
Algorithm, Electrical Engineering, Engineering, Mathematics, Neural Networks, Algorithm, Electrical Engineering, Engineering, Mathematics, Neural Networks
24 freelancers are bidding on average $243 for this job
Hello, My name is Solomon. I am Deep learning expert. I have an experience on neural network algorithms. Send me a DM and we will discuss it. I have got my neural network projects to show you. Thanks.
Hello, Do you it on Python? Excel formula? Which output format? Need it to understand how to develop output format. Thank you very much!! Portfolio: [login to view URL]