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Forecasting in the Smart Grid Era

Wednesday Aug 28, 2013 Presented by Energy Central
Virtual Event

Think you have forecasting nailed? In addition to predicting the demand for this afternoon's heatwave, forecasters are increasingly expanding their role within the utility. Existing experts are called on to address electric vehicle adoption, weather predictions, renewable penetration, solar output and more. However, many utilities face a pinch in forecasting resources.

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Event Information

Location: Virtual Event,
Venue: Your Office
Event Price: 0.00 (US)

Organizer Information

Energy Central
Contact Name: Energy Central
Phone: 303-782-5510
 

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Free Webcast Recording
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Think you have forecasting nailed? In addition to predicting the demand for this afternoon's heatwave, forecasters are increasingly expanding their role within the utility. Existing experts are called on to address electric vehicle adoption, weather predictions, renewable penetration, solar output and more. However, many utilities face a pinch in forecasting resources.
 
Some utilities are addressing the opportunity by increasing their organization's forecasting competencies. Forecasting, and analytics in general, are propelled by the rising tide of smart grid initiatives. The influx of data from the smart grid presents significant opportunities to improve forecasting efficiency.
 
This webinar covers topics including:

Relationship between corporate strategy and analytics
6 things every energy forecaster should know
A corporate journey to improve forecasting

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The Speakers:

Tomislav Galjanic
Manager of Short Term Demand Forecasting group,
Southern California Edison

Mr. Tomislav Galjanic is the Manager of Short Term Demand Forecasting group at the Southern California Edison Company. His group is responsible for forecasting electricity demand up to 90 days out for the purpose of wholesale procurement of electricity for SCE customers. Mr. Galjanic has previously held positions at SCE responsible for electricity price forecasting, electricity and natural gas price volatility modeling, asset optimization, power contract valuation, and portfolio risk management. He holds Master of Science degree in Engineering-Economic Systems and Operations Research from Stanford University and Bachelor of Science degree in Computer Science from the University of Alabama.

Paul Dick
Principal Consultant and Utilities Lead
Americas Energy Practice, SAS

Paul Dick joined the SAS Energy team as a Principal Consultant for the Energy Industry. A 26 year veteran of the telecommunications and utilities industries, previously, he worked with OGE Energy Corp. As Director of Enterprise Information Management, he was responsible for integration, governance, analytics & business intelligence, data warehousing, enterprise content management, portals, user experience and collaboration. He co-architected and designed an award-winning program called Information Factory that created information from new data generation sources and capabilities of the smart grid including strategic and operational analytics capabilities. The Information Factory Program won awards from InformationWeek Magazine, CIO Magazine and the Utility Analytics Institute in 2011 and 2012. The Information Factory also received recognition in industry magazines including Intelligent Utility Magazine and Energy Biz Magazine.
 
He served on the Utility Analytics Institute Executive Advisory Council. He has presented on many industry topics including; demand response, integrated data analytics in utilities, geospatial analytics in utilities, dynamic customer segmentation, and enterprise information architecture to name a few. Paul Dick earned a Bachelor of Science degree in Organizational Leadership from Southern Nazarene University.

Dr. Tao Hong
Assistant Professor, University of North Carolina at Charlotte

Dr. Tao Hong is an Assistant Professor with joint appointment by the Systems Engineering and Engineering Management (SEEM) department and Energy Production Infrastructure Center (EPIC) at University of North Carolina at Charlotte (UNCC). He has applied various statistical and optimization techniques to the development of algorithms and tools for utility applications of analytics, such as energy forecasting, power system planning, renewable integration, reliability planning and risk management. He has been providing consulting and education services to hundreds of organizations in all sectors of the utility industry. The long term spatial load forecasting methodology implemented in his MS thesis and the short term forecasting methodology proposed in his PhD dissertation have been commercialized and deployed to many utilities worldwide. Prior to joining UNCC, he was with SAS Institute leading research, development, consulting, sales, marketing and education of SAS Energy Forecasting solution offerings.

Dr. Hong is the Chair of the IEEE Working Group on Energy Forecasting, General Chair of Global Energy Forecasting Competition, Guest Editor-in-Chief of IEEE Transactions on Smart Grid Special Issue on Analytics for Energy Forecasting with Applications to Smart Grid, and lead instructor of the IEEE tutorial “Energy Forecasting in the Smart Grid Era”.

Dr. Hong received his B.Eng. in Automation from Tsinghua University, Beijing; a M.S. in EE; a M.S. with co-majors in OR and IE; and a Ph.D. with co-majors in OR and EE from North Carolina State University.


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