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Wiley电子期刊(3)	ProQuest学位论文(27)	Elsevier电子期刊(592)
SpringerLink电子期刊(74)	NATURE电子期刊(9)	ACS电子期刊(9)

在“Elsevier电子期刊”中，命中：592条，耗时：0.0369893 秒

在所有数据库中总计命中：714条

1.Modelling non-stationary time series using a peaks over threshold distribution with time varying covariates and threshold: An application to peak electricity demand

作者：Caston Sigauke ; ^{csigauke@gmail.com} ; Alphonce Bere

关键词：Extreme value theory ; Non stationary time series ; Peak electricity demand ; Penalized smoothing splines ; Time varying threshold

刊名：Energy

出版年：2017

2.Peak power problems: How Ontario’s industrial electricity pricing system hurts consumers

作者：Anindya Sen ^{asen@uwaterloo.ca}Author Vitae

关键词：Electricity demand ; Industrials ; Incentive programs ; Electricity policy ; Ontario ; Canada

刊名：The Electricity Journal

出版年：2017

3.A multi-region load dispatch model for the long-term optimum planning of China’s electricity sector

作者：Zheng Guo^a ; Rui Cheng^a ; Zhaofeng Xu^a ; Pei Liu^a ; Zhe Wang^a ; ^{zhewang@tsinghua.edu.cn} ; Zheng Li^a ; Ian Jones^b ; Yong Sun^c

关键词：Electricity generation ; Power sector planning ; Carbon capture and storage ; Regional distribution ; Load dispatch ; Peak electricity demand regulation ; Flexibility ; Cap-and-trade

刊名：Applied Energy

出版年：2017

4.Electrical energy demand efficiency efforts in Brazil, past, lessons learned, present and future: A critical review

作者：Hans H. Zurn^a ; ^{hans@labspot.ufsc.br" class="auth_mail" title="E-mail the corresponding author} ; Daniel Tenfen^b ; ^{tenfendaniel@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Jacqueline G. Rolim^a ; André ; Richter^c ; Ines Hauer^c

关键词：Electrical energy demand ; Efficiency ; Demand side management ; Brazilian electricity sector

刊名：Renewable and Sustainable Energy Reviews

出版年：2017

5.MOD-DR: Microgrid optimal dispatch with demand response

作者：Ming Jin^a ; ^b ; ^{jinming@berkeley.edu} ; Wei Feng^b ; ^{WeiFeng@lbl.gov} ; Ping Liu^b ; ^{PingLiu@lbl.gov} ; Chris Marnay^b ; ^{ChrisMarnay@lbl.gov} ; Costas Spanos^a ; ^{spanos@berkeley.edu}

关键词：Microgrid dispatch ; Demand response ; Uncertainty ; Unit commitment ; Distributed energy resources

刊名：Applied Energy

出版年：2017

6.Making legacy thermal storage heating fit for the smart grid

作者：P.J. Boait^a ; ^{p.boait@dmu.ac.uk} ; J.R. Snape^a ; ^{jsnape@dmu.ac.uk} ; S.J. Darby^b ; ^{sarah.darby@ouce.ox.ac.uk} ; J. Hamilton^c ; ^{e.j.hamilton@pgr.reading.ac.uk} ; R.J.R. Morris^d ; ^{robin@energylocal.co.uk}

关键词：Thermal storage ; Demand response ; Time-of-day tariff ; Electric heating ; Smart meter

刊名：Energy and Buildings

出版年：2017

7.Selection of cutting conditions for power constrained parallel machine scheduling

作者：Yi-Chi Wang ; Ming-Jun Wang ; Sung-Chi Lin

关键词：Cutting conditions ; Parallel machine scheduling ; Power demand ; Genetic algorithm

刊名：Robotics and Computer-Integrated Manufacturing

出版年：2017

8.Energy productivity evaluation of large scale building energy efficiency programs for Oman

作者：Moncef Krarti^a ; ^b ; ^{krarti@colorado.edu} ; Kankana Dubey^b

关键词：Building retrofits ; Energy-efficient measures ; Energy productivity ; Life cycle cost ; Optimization ; Oman

刊名：Sustainable Cities and Society

出版年：2017

9.Batteries as a Service: A New Look at Electricity Peak Demand Management for Houses in the UK

作者：M.J.M. Davis^a ; ^b ; ^{davismaks@evolutionecoengine.com" class="auth_mail" title="E-mail the corresponding author} ; P. Hiralal^c

关键词：Batteries ; Electricity peak demand ; Tariffs ; low demand ; UK

刊名：Procedia Engineering

出版年：2016

10.A fuzzy-stochastic simulation-optimization model for planning electric power systems with considering peak-electricity demand: A case study of Qingdao, China

作者：L. Yu^a ; ^{yulei1060220069@sina.com" class="auth_mail" title="E-mail the corresponding author} ; Y.P. Li^a ; ^b ; ^{yongping.li@iseis.org" class="auth_mail" title="E-mail the corresponding author} ; G.H. Huang^a ; ^c ; ^{gordon.huang@uregina.ca" class="auth_mail" title="E-mail the corresponding author}

关键词：Electric power systems ; Fuzzy-boundary intervals ; Management ; Monte Carlo simulation ; Peak demand ; Support vector regression

刊名：Energy

出版年：2016

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