%0 Journal Article %1 Ryder2011205 %A Ryder, G. %A Shahid, F. %A Yan, S. %C Orlando, FL %D 2011 %J Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) %K Gridlab-D %N PART 2 %P 205-214 %R 10.1007/978-3-642-21708-1_24 %T The grid intelligent planning framework: Planning electric utility investments in a time of accelerating change %U http://www.scopus.com/inward/record.url?eid=2-s2.0-79960524623&partnerID=40&md5=f3943efd1d66a4c81e7f8797c8b587a7 %V 6770 LNCS %X Over the next ten years, electric power utilities will be required to invest billions of dollars to meet public policy goals for a greener, smarter electricity grid. Renewable generation portfolio standards, electric vehicle infrastructure, advanced metering infrastructure, and the replacement of aging grid assets are some of the factors driving these new investments. The Grid Intelligent Planning Framework using GridLAB-D is an advanced forecasting solution that allows utility business and engineering experts to collaborate on forecasting models, and thereby to reduce the time needed for a capital investment planning cycle. This solution facilitates wise and timely investment decisions as the pace of change accelerates in the electric power industry. © 2011 Springer-Verlag. %@ 9783642217074

@article{Ryder2011205, abbrev_source_title = {Lect. Notes Comput. Sci.}, abstract = {Over the next ten years, electric power utilities will be required to invest billions of dollars to meet public policy goals for a greener, smarter electricity grid. Renewable generation portfolio standards, electric vehicle infrastructure, advanced metering infrastructure, and the replacement of aging grid assets are some of the factors driving these new investments. The Grid Intelligent Planning Framework using GridLAB-D is an advanced forecasting solution that allows utility business and engineering experts to collaborate on forecasting models, and thereby to reduce the time needed for a capital investment planning cycle. This solution facilitates wise and timely investment decisions as the pace of change accelerates in the electric power industry. © 2011 Springer-Verlag.}, added-at = {2012-04-22T19:21:36.000+0200}, address = {Orlando, FL}, affiliation = {SAP Labs. LLC, 3412 Hillview Drive, Palo Alto, CA 94304, United States}, author = {Ryder, G. and Shahid, F. and Yan, S.}, author_keywords = {capital investment; collaboration; electric power utilities; energy management; forecasting; risk analysis; visualization}, biburl = {https://www.bibsonomy.org/bibtex/2d10e6c8d1c8f787881e8cbbaa48394fe/adnasiak}, correspondence_address = {Ryder, G.; SAP Labs. LLC, 3412 Hillview Drive, Palo Alto, CA 94304, United States; email: geoff.ryder@sap.com}, description = {It refers to a software solution called "Grid Intelligent Planing Framework" in order to build high quality simulations quickly.GridLAB-D is used as coponent in this implementation.}, document_type = {Conference Paper}, doi = {10.1007/978-3-642-21708-1_24}, interhash = {4422a5abd8e06620e3ea4d22edd16c71}, intrahash = {d10e6c8d1c8f787881e8cbbaa48394fe}, isbn = {9783642217074}, issn = {03029743}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, keywords = {Gridlab-D}, language = {English}, note = {cited By (since 1996) 0; Conference of 1st International Conference on Design, User Experience and Usability: Theory, Methods, Tools and Practice, DUXU 2011, Held as Part of 14th International Conference on Human-Computer Interaction, HCI International 2011; Conference Date: 9 July 2011 through 14 July 2011; Conference Code: 85648}, number = {PART 2}, pages = {205-214}, references = {Climate Change - At Least Some States and Cities Get It (2011) New York Times, , January 9; Blumsack, S., Samaras, C., Hines, P., Long-Term System Investments to Support Plug-In Hybrid Electric Vehicles Power and Energy Society Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, Pennsylvania, USA (2008); Ortmeyer, T., Dugan, R., Crudele, D., Key, T., Barker, P., (2008) Renewable Systems Interconnection Study: Utility Models, Analysis, and Simulation Tools, , Technical Report, Sandia National Laboratories; Podmore, R., Robinson, M., The Role of Simulators for Smart Grid Development (2010) IEEE Trans. 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Undergraduate Research, 9, pp. 66-72. , U.S. Dept. of Energy; California Executive Order S-21-09, , http://www.cpuc.ca.gov/PUC/energy/Renewables/hot/33implementation.htm; Castaner, L., Silvestre, S., (2002) Modeling Photovoltaic Systems Using PSpice, , John Wiley and Sons, West Sussex; Piwko, R., Osborn, D., Gramlich, R., Jordan, G., Hawkins, D., Porter, K., Wind Energy Delivery Issues: Transmission Planning and Competitive Electricity Market Operation (2005) IEEE Power and Energy Magazine, 3 (6), pp. 47-56; Start Here: The Wheel Model for User Experience, , http://www.uxexpert.com/the-wheel-model-for-user-experience/; Hupfer, S., Cheng, L., Ross, S., Patterson, J., Introducing Collaboration into an Application Development Environment ACM Conference on Computer Supported Cooperative Work, Chicago, Illinois (2004); Twidale, M., Nichols, D., Designing Interfaces to Support Collaboration in Information Retrieval (1998) Computers, 10, pp. 177-193; Using Prototypes, , http://www.sapdesignguild.org/community/design/prototypes.asp; Bedekar, N., Kennedy, S., What Sustainability Brings to the Research Table Proceedings of the 22nd Annual Conference on Human-Computer Interaction, Orlando, Florida, USA (2011), , forthcoming}, source = {Scopus}, timestamp = {2012-04-26T21:41:41.000+0200}, title = {The grid intelligent planning framework: Planning electric utility investments in a time of accelerating change}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960524623&partnerID=40&md5=f3943efd1d66a4c81e7f8797c8b587a7}, volume = {6770 LNCS}, year = 2011 }