Public webcast: Harnessing the power of big data through machine learning in Power & Utilities
Please join us for an exciting public webcast: Harnessing the power of big data through machine learning in Power & Utilities
Date: Wednesday, June 3rd, 2015 Time: 9:00 AM PDT
This webcast will feature Microsoft Power & Utilities CTO, Larry Cochrane, Microsoft Data Scientist Director Ilan Ritter, and partner Genscape’s Albert Hofeldt Platform Services Managing Director for this insightful overview of the emerging arena of Machine Learning and how you can apply it to help meet the challenges of the Power & Utilities industry. To register, please click here.
Webcast Details: Big Data and advanced analytics have been hot topics in Power and Utilities recently. A number of analytics scenarios are emerging in electric utilities ranging from customer segmentation, predictive and proscriptive maintenance to increase reliability, generation forecasting, price estimation, and Load Forecasting. Microsoft has released a number of new platform solutions to facilitate statistical analysis for these scenarios, including HDInsight for Hadoop analytics, and Azure Machine Learning.
This webcast will demonstrate the new Azure Machine Learning (AzureML) offering, how to easily and quickly create experiments for trained predictive models, and how to commit those models into production. Learn about experiment design and execution and how easy it is to create these statistical analysis models.
In addition, one of the historically challenging areas of control and trading within the electric power system has been the realm of Load Forecasting. This webcast will discuss some sample prediction models for load forecasting. The webcast will also include Microsoft partner Genscape who will discuss integration of AzureML with their Power IQ Market Intelligence offering to improve the robustness and accuracy of the ISO/RTO market load forecasts.
We look forward to seeing you on Wednesday, June 3rd! – Jon C. Arnold