We have a planned maintenance outage from to UTC. Hence, we are unable to process your lab request. Please re-visit this page and request your lab after the outage. We have a planned maintenance outage from to UTC.You will be unable to connect and use your lab environment during this time. We have a planned infrastructure maintenance on 10-Jan-2020 from 15:30 PST to 18:30 PST.

This will be an important topic discussed at POWERGEN International only two weeks away in New Orleans. Click here to learn more! Today, utility engineers spend a significant portion of their time completing repetitive administration tasks. Some organizations estimate that upwards of 40 percent of the time of highly trained engineers is spent on these mundane tasks. The maturation of artificial intelligence (AI) techniques such as machine learning and natural language processing (NLP) has made them increasingly viable for use in automating more complex and higher impact tasks.

Power plants can deploy these innovative technologies today to more accurately predict the condition of assets and schedule appropriate maintenance to correct equipment problems before failure. Although the new administration in Washington has reversed the "war on coal," long-term trends in the U.S. are not promising. Most coal-fired capacity was built between 1950 and 1990, and the average coal plant is about 42 years old. With plant retirements expected to continue in 2018 and beyond, investment in new plants has come to a standstill. The confluence of regulatory issues and alternative energy sources is well known.