Dallas / Minneapolis / Austin / Boston / Palo Alto / Baltimore / New York / Washington / DC / Portland / Los Angeles / Wiley / Hooks / Arlington / /
Company
Large Electric Networks / Prentice-Hall / John Wiley & Sons Inc. / Large Nonequivalenced Electric Networks / /
Country
Jordan / United States / /
Event
Person Travel / /
Facility
D. Garrison / Power System Under Transmission Constrained Economic Dispatch / J. Hall / Power System Reliability / Power System Simulation Model Based On Probability Analysis / Power System Reliability Evaluation Using Stochastic Loadflow / Arlington State College / Power System Reliability Planning Practices In North America / University of Texas / Power System Reliability Calculations / Power System Expansion Planning / Interchange Capacity Calculations / /
MarketIndex
Calculation Of Frequency And Duration / /
MusicGroup
System / Ph.D. / Energy / Committee / Power / Beck / /
Organization
University of Texas at Arlington / University of Texas at Austin / Department of Energy / State College / IEEE Task Force / Austin Electric Utility Department / System Planning Subcommittee / APM Bulk Power Indices Task Force / Hooks High School / Graduate School / Engineering Committee / /
Person
Contingency Ranking / Carlo Technique / R. Gunderson / R. Allen / Nasser / A. Sasson / Helen Gordon Preston / Monte-Carlo Techniques / Eugene Gordon Preston / R. Ringlee / P. Van Horne / Robert Eugene Preston / /
Position
engineer / author / chair / engineer at the City / Porter / D. Porter / /
ProgrammingLanguage
DC / /
ProvinceOrState
Texas / Minnesota / Maryland / New York / California / Massachusetts / /
Bibliography Probabilistic Composite Generation-Transmission Models [1] E. Preston, M. Grady, and M. Baughman, A New Planning Model For Assessing The Effects Of Transmission Capacity Constraints On The Reliability Of Ge