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A Vision for Co-optimized T&D System Interaction with Renewables and Demand Response.

, , and . HICSS, page 1-8. ScholarSpace / AIS Electronic Library (AISeL), (2017)

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Analysis of Wind Penetration and Network Reliability through Monte Carlo Simulation., and . WSC, page 1503-1510. IEEE, (2009)Data Privacy in the Smart Grid: A Decentralized Approach., , and . HICSS, page 1-10. ScholarSpace, (2019)Analysis of the System Costs of Wind Variability Through Monte Carlo Simulation., and . HICSS, page 1-8. IEEE Computer Society, (2010)Introduction to Integrating Distributed or Renewable Generation Minitrack.. HICSS, page 2372. IEEE Computer Society, (2016)Improved Marginal Loss Calculations During Hours of Transmission Congestion.. HICSS, IEEE Computer Society, (2005)Reducing the Variability of Wind Power Generation for Participation in Day Ahead Electricity Markets., and . HICSS, page 178. IEEE Computer Society, (2008)Co-optimizing High and Low Voltage Systems: Bi-Level vs. Single-Level Approach., , and . HICSS, page 1-10. ScholarSpace, (2020)A Decision Framework for Optimal Pairing of Wind and Demand Response Resources., and . IEEE Syst. J., 8 (4): 1104-1111 (2014)A Vision for Co-optimized T&D System Interaction with Renewables and Demand Response., , and . HICSS, page 1-8. ScholarSpace / AIS Electronic Library (AISeL), (2017)Integrating small scale distributed generation into a deregulated market: control strategies and price feedback.. Massachusetts Institute of Technology, Cambridge, MA, USA, (1997)ndltd.org (oai:dspace.mit.edu:1721.1/10198).