More extreme and frequent weather events, aging infrastructure, and poor vegetation applications have caused a sharp increase in utility power outages over the last few decades. Utility companies are experiencing rising storm response costs and regulatory pressure due to inefficient mobilization decisions and inadequate preparedness. Hyper-local weather and geospatial data combined with advanced analytics and machine learning techniques can create a number of powerful outage management solutions including vegetation management, outage prediction, and resource optimization. When effectively developed and deployed, these solutions can significantly improve grid reliability, storm response efforts, and customer satisfaction for utilities.
The presentation will first discuss the state of the climate and grid by summarizing four key themes: Data, Resiliency, Reliability, and Situational Awareness. An overview of IBM and The Weather Company’s outage management offerings will then be discussed which will highlight a few utilities who are presently using these solutions in operations. The presentation will conclude with a summary of future enhancements and capabilities from the offering suite.