Power generation prediction using realtime inference with Spark Structured Streaming and Kafka

A modern power plants generate an enormous amount of data, with the ever growing number of high frequency sensors, some of the applications of this data are : the protection against problems induced by combustion dynamics for example, and help improve the plant heat rate, and optimize power generation. If we take a sensor thatContinue reading “Power generation prediction using realtime inference with Spark Structured Streaming and Kafka”