New neural network tool speeds up O&M for Trough CSP

  A groundbreaking new AI simulation tool that dramatically improves power plant operations for parabolic Trough-type Concentrated Solar Power (CSP) plants has been created by the University of Wisconsin-Madison’s Michael Wagner, who helped develop the widely used System Advisor Model (SAM), and former graduate student and AI expert Matthew Tuman. Their study, Neural-network-driven dynamic simulation … Continue reading New neural network tool speeds up O&M for Trough CSP