Four steps to enterprise data management for climate-challenged utilities From megadroughts to rapidly intensifying hurricanes, tornado outbreaks and record-breaking temperatures, our public infrastructure is being…
Utilities can combat climate change while enhancing their own service operations and bottom line by leveraging data from graphics processing unit (GPU) systems for next-generation…
When asset managers figure out how to harness existing high-quality data, they increase the health of power grids. Consider for a moment an analogy of…
EPRI has been working with utilities in the United States to digitalize wind assets and develop a physics-based machine-learning hybrid model to identify gearbox damage…
Asset analytics can help make the shift from run-to-failure to predictive and condition-based maintenance. This is the second part of a two-part series. Read part…
Predictive analytics can help utilities realize value through improved reliability, decreased O&M costs, improved safety, and developing a coherent, systematic approach to asset base replenishment.…
Investors will be looking more closely at utilities’ exposure to climate risk as an input to their investment decisions. Climate risk has shareholders, bond…
Risk mitigation is the key reason to know the probability of failure of utility assets. Unfortunately, the utilities that know that best, are the ones…
PG&E recently received a CIO 100 Award for Excellence for its creative approach to wildfire risk. The utility applied machine learning to aerial images of…
Have you ever met with utility analytics practitioners who are grappling with the same questions you are? I have. Have you ever participated in a…
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