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Srinivas Katipamula

Biographic Data

ID4868381
NAMESrinivas Katipamula
GIVEN NAMESSrinivas
FAMILY NAMEKatipamula
SIGNATUREKATIPAMULA S
AFFILIATIONSPacific Northwest National Laboratory
ORCID0000-0002-7092-6517
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS4
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Application of intelligent load control to manage building loads to support rapid growth of distributed renewable generation

    Open Access•Woohyun Kim, Srinivas Katipamula et al.•ARTICLE•Sustainable Cities and Society•2020

  • The Smart Grid

    Robert G Pratt, Patrick Balducci et al.•REPORT•2010•Cited by: 4•References: 1

    This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been base…

  • The Smart Grid

    Robert G Pratt, Patrick Balducci et al.•REPORT•2010•Cited by: 4•References: 1

    This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been base…

  • The Smart Grid

    Robert G Pratt, Patrick Balducci et al.•REPORT•2010•Cited by: 4•References: 1

    This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been base…

  • Application of intelligent load control to manage building loads to support rapid growth of distributed renewable generation

    Open Access•Woohyun Kim, Srinivas Katipamula et al.•ARTICLE•Sustainable Cities and Society•2020

Computer Science (2 works) · Electricity (2 works) · Engineering (2 works) · Grid (2 works) · Reliability engineering (2 works) · Automotive Engineering (1 work) · Bidding (1 work) · Building automation (1 work) · Building Energy and Comfort Optimization (1 work) · Carbon Footprint (1 work)

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