Successful application of AI techniques: A hybrid approach
Tom Rhodes and Dr. Tony McGrail: AI systems provide a lot of promise in the analysis and evaluation of power system data.
by Tom Rhodes and Dr. Tony McGrail
AI systems provide a lot of promise in the analysis and evaluation of power system data. This article shows some of the benefits of the application of AI, identifying the strengths and weaknesses of the approach, and provides a way forward to apply AI in a meaningful and controlled manner.
The major applications of the AI and ML in the transformer industry are the diagnostics and giving the predictions where and when the next transformer will fail
There is a large push to use artificial intelligence and machine learning to help reduce the time of performing maintenance on transformers and predicting where and when the next transformer will fail. AI systems provide a lot of promise in the analysis and evaluation of power system data.
Duke Energy has developed a hybrid model which takes the best of available analysis tools and ML systems, combined with the scientific knowledge, to make the most accurate decisions using Scientific Machine Learning. Click here to read the whole article.
Keywords: application, artificial intelligence, experience, machine learning, scientific machine learning