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Elsevier电子期刊(225)

在“Elsevier电子期刊”中，命中：225条，耗时：0.0479482 秒

在所有数据库中总计命中：285条

1.Coupling of cleaner production with a day-ahead electricity market: A hypothetical case study

作者：Luka Perković^a ; ^{luka.perkovic@oblak.rgn.hr} ; Hrvoje Mikulčić^b ; ^{hrvoje.mikulcic@fsb.hr} ; Luka Pavlinek^b ; ^{luka.pavlinek@stud.fsb.hr} ; Xuebin Wang^c ; ^{wxb005@xjtu.edu.cn} ; Milan Vujanović^b ; ^{milan.vujanovic@fsb.hr} ; Houzhang Tan^c ; ^{tanhz@mail.xjtu.edu.cn} ; Jakov Baleta^b ; ^{jakov.baleta@fsb.hr} ; Neven Duić^b ; ^{neven.duic@fsb.hr}

关键词：Day-ahead electricity market ; Integer programming ; Market clearing price ; Renewable energy sources ; Thermal storage

刊名：Journal of Cleaner Production

出版年：2017

2.Electricity prices, large-scale renewable integration, and policy implications

作者：Evangelos Kyritsis^a ; Jonas Andersson^a ; Apostolos Serletis^b ; ^{Serletis@ucalgary.ca} ;

关键词：C22 ; Q41 ; Q42

刊名：Energy Policy

出版年：2017

3.A hybrid-learning based broker model for strategic power trading in smart grid markets

作者：Xishun Wang ; ^{xw357@uowmail.edu.au} ; Minjie Zhang ^{minjie@uow.edu.au} ; Fenghui Ren ^{fren@uow.edu.au}

关键词：Smart grid market ; Broker model ; Data-driven ; Hybrid learning

刊名：Knowledge-Based Systems

出版年：2017

4.Portfolio optimization under lower partial moments in emerging electricity markets: Evidence from Turkey

作者：Fazıl Gö ; kgö ; z^a ; ^{fgokgoz@ankara.edu.tr" class="auth_mail" title="E-mail the corresponding author} ; Mete Emin Atmaca^b ; ^c ; ^{meteemin.atmaca@euas.gov.tr" class="auth_mail" title="E-mail the corresponding author}

关键词：C60 ; C61 ; C12 ; C22 ; G10 ; G11 ; L94 ; N75 ; Q41

刊名：Renewable and Sustainable Energy Reviews

出版年：2017

5.Market based procurement of energy and ancillary services from Renewable Energy Sources in deregulated environment

作者：Anuj Banshwar^a ; ^{anujbanshwar@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Naveen Kumar Sharma^a ; ^{naveen31.sharma@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Yog Raj Sood^a ; ^{yrsood@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Rajnish Shrivastava^b ; ^{rajnishshri@gmail.com" class="auth_mail" title="E-mail the corresponding author}

关键词：Ancillary services ; Energy market ; Energy procurement cost ; Renewable Power Producers ; Reserve market ; Reserve procurement cost

刊名：Renewable Energy

出版年：2017

6.Merit-order effects of renewable energy and price divergence in California’s day-ahead and real-time electricity markets

关键词：Electricity prices ; Day-ahead market ; Real-time market ; Renewable energy ; Merit-order effects ; California

刊名：Energy Policy

出版年：2016

7.Day-ahead electricity price forecasting via the application of artificial neural network based models

作者：Ioannis P. Panapakidis^a ; ^b ; ^{ipanap@ee.auth.gr" class="auth_mail" title="E-mail the corresponding author} ; Athanasios S. Dagoumas^b

关键词：Artificial neural networks ; Electricity price forecasting ; Day-ahead market ; Time-series clustering

刊名：Applied Energy

出版年：2016

8.Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks

作者：Dogan Keles^a ; ^{dogan.keles@kit.edu" class="auth_mail" title="E-mail the corresponding author} ; Jonathan Scelle^b ; Florentina Paraschiv^c ; Wolf Fichtner^a

关键词：Electricity prices ; Day-ahead-market ; Price forecasting ; Artificial neuronal network ; Input selection

刊名：Applied Energy

出版年：2016

9.On the importance of the long-term seasonal component in day-ahead electricity price forecasting

作者：Jakub Nowotarski ^{jakub.nowotarski@pwr.edu.pl" class="auth_mail" title="E-mail the corresponding author} ; Rafał Weron ; ^{rafal.weron@pwr.edu.pl" class="auth_mail" title="E-mail the corresponding author}

关键词：Electricity spot price ; Forecasting ; Day-ahead market ; Long-term seasonal component

刊名：Energy Economics

出版年：2016

10.Forecasting day-ahead price spikes for the Ontario electricity market

作者：Harmanjot Singh Sandhu^a ; Liping Fang^a ; ^{lfang@ryerson.ca" class="auth_mail" title="E-mail the corresponding author} ; Ling Guan^b

关键词：Spike forecasting ; Price forecasting ; Electricity prices ; Neural networks ; Data mining

刊名：Electric Power Systems Research

出版年：2016

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