Adaptive monitoring of the progressive hedging penalty for reservoir systems management
Reservoir systems operations problems are in essence stochastic because of the uncertain nature of natural inflows. This leads to very large stochastic models that may not be easy to handle numerically. In this paper, we revisit the decomposition method developed by Rockafellar and Wets (Math Oper R...
Uložené v:
| Vydané v: | Energy systems (Berlin. Periodical) Ročník 5; číslo 2; s. 307 - 322 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.06.2014
Springer Nature B.V |
| Predmet: | |
| ISSN: | 1868-3967, 1868-3975 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Reservoir systems operations problems are in essence stochastic because of the uncertain nature of natural inflows. This leads to very large stochastic models that may not be easy to handle numerically. In this paper, we revisit the decomposition method developed by Rockafellar and Wets (Math Oper Res 119–147,
1991
) by proposing new heuristics to initialize and dynamically adjust the penalty parameter of the augmented Lagrangian function on which this method is based. The heuristics are tested on multi-reservoir problems generated randomly and compared with the traditional strategy of setting the penalty parameter to a fixed value. |
|---|---|
| AbstractList | Reservoir systems operations problems are in essence stochastic because of the uncertain nature of natural inflows. This leads to very large stochastic models that may not be easy to handle numerically. In this paper, we revisit the decomposition method developed by Rockafellar and Wets (Math Oper Res 119-147, 1991) by proposing new heuristics to initialize and dynamically adjust the penalty parameter of the augmented Lagrangian function on which this method is based. The heuristics are tested on multi-reservoir problems generated randomly and compared with the traditional strategy of setting the penalty parameter to a fixed value. Reservoir systems operations problems are in essence stochastic because of the uncertain nature of natural inflows. This leads to very large stochastic models that may not be easy to handle numerically. In this paper, we revisit the decomposition method developed by Rockafellar and Wets (Math Oper Res 119–147, 1991 ) by proposing new heuristics to initialize and dynamically adjust the penalty parameter of the augmented Lagrangian function on which this method is based. The heuristics are tested on multi-reservoir problems generated randomly and compared with the traditional strategy of setting the penalty parameter to a fixed value. Issue Title: Managing Uncertainty in Energy Markets (pp 209-369) Reservoir systems operations problems are in essence stochastic because of the uncertain nature of natural inflows. This leads to very large stochastic models that may not be easy to handle numerically. In this paper, we revisit the decomposition method developed by Rockafellar and Wets (Math Oper Res 119-147, 1991 ) by proposing new heuristics to initialize and dynamically adjust the penalty parameter of the augmented Lagrangian function on which this method is based. The heuristics are tested on multi-reservoir problems generated randomly and compared with the traditional strategy of setting the penalty parameter to a fixed value.[PUBLICATION ABSTRACT] |
| Author | Lamond, Bernard F. Zéphyr, Luckny Lang, Pascal |
| Author_xml | – sequence: 1 givenname: Luckny surname: Zéphyr fullname: Zéphyr, Luckny email: luckny.zephyr.1@ulaval.ca organization: Operations and Decision Systems Departement, Université Laval – sequence: 2 givenname: Pascal surname: Lang fullname: Lang, Pascal organization: Operations and Decision Systems Departement, Université Laval – sequence: 3 givenname: Bernard F. surname: Lamond fullname: Lamond, Bernard F. organization: Operations and Decision Systems Departement, Université Laval |
| BookMark | eNp9kM1LwzAchoNMcM79Ad4KXrxU89VkPY7hFwy8KB5D1v66ZbRJTbLB_ntTJiIDPYQE3udNfnku0cg6CwhdE3xHMJb3gVAhZI4JS4vgnJ-hMZmJWc5KWYx-zkJeoGkIW4wxwZJSLMboY17rPpo9ZJ2zJjpv7DpzTRY3kPXerT2EMKQbqNdD1IPVbTxkjfNZysDvnfFZOIQIXcg6bfUaOrDxCp03ug0w_d4n6P3x4W3xnC9fn14W82VeMV7GnENdw0ysVkBLKAFTyqGiWAoCM8o004IWrFwJxhssGl4A1yCboq6pbDCTKzZBt8d707CfOwhRdSZU0LbagtsFRQpOOOOY0ITenKBbt_PpOwNF0nOES5kocqQq70Lw0Kjem077gyJYDbbV0bZKttVgW_HUkSedykQdjbPRa9P-26THZugH8-B_zfRn6QugSpXt |
| CitedBy_id | crossref_primary_10_1080_15732479_2023_2218359 crossref_primary_10_1016_j_ijepes_2022_108319 crossref_primary_10_1016_j_ejor_2019_02_052 crossref_primary_10_1007_s10287_024_00517_y crossref_primary_10_1016_j_ijepes_2019_105469 crossref_primary_10_1080_10298436_2020_1859506 crossref_primary_10_1016_j_ejor_2017_03_050 crossref_primary_10_1061__ASCE_WR_1943_5452_0000575 crossref_primary_10_1007_s10898_025_01531_3 crossref_primary_10_1016_j_ijepes_2023_109312 crossref_primary_10_1109_TSG_2022_3161801 crossref_primary_10_1007_s12667_015_0184_2 |
| Cites_doi | 10.1007/BF01582895 10.1007/BF02204860 10.1029/WR021i006p00779 10.1016/j.ijepes.2009.03.032 10.1007/s10107-002-0331-0 10.1109/TPWRS.2005.846073 10.1007/BF01386316 10.1023/A:1018965626303 10.1080/1055678021000033946 10.2139/ssrn.1268385 |
| ContentType | Journal Article |
| Copyright | Springer-Verlag Berlin Heidelberg 2013 Springer-Verlag Berlin Heidelberg 2014 |
| Copyright_xml | – notice: Springer-Verlag Berlin Heidelberg 2013 – notice: Springer-Verlag Berlin Heidelberg 2014 |
| DBID | AAYXX CITATION 3V. 7TB 7WY 7WZ 7XB 87Z 8FD 8FE 8FG 8FK 8FL ABJCF ABUWG AEUYN AFKRA ARAPS BENPR BEZIV BGLVJ BHPHI BKSAR CCPQU DWQXO FR3 FRNLG F~G HCIFZ K60 K6~ KR7 L.- L6V M0C M7S P5Z P62 PCBAR PHGZM PHGZT PKEHL PQBIZ PQBZA PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYYUZ Q9U |
| DOI | 10.1007/s12667-013-0110-4 |
| DatabaseName | CrossRef ProQuest Central (Corporate) Mechanical & Transportation Engineering Abstracts ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ABI/INFORM Collection Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ABI/INFORM Collection (Alumni Edition) Materials Science & Engineering Collection (ProQuest) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Health Research Premium Collection ProQuest Central Business Premium Collection Technology Collection (ProQuest) Natural Science Collection (ProQuest) Earth, Atmospheric & Aquatic Science Collection (ProQuest) ProQuest One Community College ProQuest Central Engineering Research Database Business Premium Collection (Alumni) ABI/INFORM Global (Corporate) SciTech Premium Collection (ProQuest) ProQuest Business Collection (Alumni Edition) ProQuest Business Collection Civil Engineering Abstracts ABI/INFORM Professional Advanced ProQuest Engineering Collection ABI/INFORM Global Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Business ProQuest One Business (Alumni) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection (ProQuest) ABI/INFORM Collection China ProQuest Central Basic |
| DatabaseTitle | CrossRef ABI/INFORM Global (Corporate) ProQuest Business Collection (Alumni Edition) ProQuest One Business Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Advanced Technologies & Aerospace Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China ABI/INFORM Complete ProQuest Central Earth, Atmospheric & Aquatic Science Collection ABI/INFORM Professional Advanced ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Engineering Collection Natural Science Collection ProQuest Central Korea ProQuest Central (New) ABI/INFORM Complete (Alumni Edition) Engineering Collection Advanced Technologies & Aerospace Collection Business Premium Collection Civil Engineering Abstracts ABI/INFORM Global Engineering Database ABI/INFORM Global (Alumni Edition) ProQuest Central Basic ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ABI/INFORM China ProQuest Technology Collection ProQuest SciTech Collection ProQuest Business Collection Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition Materials Science & Engineering Collection ProQuest One Business (Alumni) Engineering Research Database ProQuest One Academic ProQuest Central (Alumni) ProQuest One Academic (New) Business Premium Collection (Alumni) |
| DatabaseTitleList | Civil Engineering Abstracts ABI/INFORM Global (Corporate) |
| Database_xml | – sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1868-3975 |
| EndPage | 322 |
| ExternalDocumentID | 3282154441 10_1007_s12667_013_0110_4 |
| Genre | Feature |
| GroupedDBID | -EM 06D 0R~ 0VY 1N0 203 29~ 2JY 2VQ 30V 3V. 4.4 406 408 409 40D 7WY 8FE 8FG 8FH 8FL 8UJ 96X AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH AAZMS ABAKF ABBXA ABDZT ABECU ABFTD ABFTV ABHQN ABJCF ABJNI ABJOX ABKCH ABMQK ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACDTI ACGFS ACHSB ACIWK ACKNC ACMLO ACOKC ACPIV ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGNC AEJHL AEJRE AEMSY AEOHA AEPYU AESKC AETCA AEUYN AEVLU AEXYK AFBBN AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ AKLTO ALFXC ALMA_UNASSIGNED_HOLDINGS AMKLP AMXSW AMYLF AMYQR ANMIH ARAPS AUKKA AXYYD AYJHY BENPR BEZIV BGLVJ BGNMA BHPHI BKSAR BPHCQ CCPQU CSCUP DNIVK DPUIP DWQXO EBLON EBS EIOEI EJD ESBYG FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FYJPI GGCAI GGRSB GJIRD GQ6 GQ7 GQ8 GROUPED_ABI_INFORM_COMPLETE H13 HCIFZ HF~ HG6 HMJXF HQYDN HRMNR HZ~ I0C IKXTQ IWAJR IXD IZIGR J-C J0Z JBSCW JCJTX JZLTJ K60 K6~ KOV L6V LK5 LLZTM M0C M4Y M7R M7S NPVJJ NQJWS NU0 O9- O93 O9J P62 P9P PCBAR PQBIZ PQBZA PQQKQ PROAC PT4 PTHSS QOS R89 R9I RLLFE ROL RSV S1Z S27 S3B SEG SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE T13 TSG U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W48 WK8 Z45 Z7Y ZMTXR ~A9 AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC AEZWR AFDZB AFFHD AFHIU AFOHR AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION PHGZM PHGZT PQGLB 7TB 7XB 8FD 8FK FR3 KR7 L.- PKEHL PQEST PQUKI PRINS Q9U |
| ID | FETCH-LOGICAL-c349t-4edde86bbe29e9e0224ec20761e823a3a62539b634f06f45e4ae7f5dd27f037b3 |
| IEDL.DBID | RSV |
| ISICitedReferencesCount | 13 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000219069600007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1868-3967 |
| IngestDate | Sun Nov 09 09:32:57 EST 2025 Tue Dec 02 15:55:04 EST 2025 Tue Nov 18 21:39:31 EST 2025 Sat Nov 29 05:00:28 EST 2025 Fri Feb 21 02:33:41 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | Progressive hedging algorithm Stochastic programming models Decomposition method Reservoir systems operations Heuristic |
| Language | English |
| License | http://www.springer.com/tdm |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c349t-4edde86bbe29e9e0224ec20761e823a3a62539b634f06f45e4ae7f5dd27f037b3 |
| Notes | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 |
| PQID | 1518231477 |
| PQPubID | 1486346 |
| PageCount | 16 |
| ParticipantIDs | proquest_miscellaneous_1541434012 proquest_journals_1518231477 crossref_primary_10_1007_s12667_013_0110_4 crossref_citationtrail_10_1007_s12667_013_0110_4 springer_journals_10_1007_s12667_013_0110_4 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-06-01 |
| PublicationDateYYYYMMDD | 2014-06-01 |
| PublicationDate_xml | – month: 06 year: 2014 text: 2014-06-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Berlin/Heidelberg |
| PublicationPlace_xml | – name: Berlin/Heidelberg – name: Gainesville |
| PublicationSubtitle | Optimization, Modeling, Simulation, and Economic Aspects |
| PublicationTitle | Energy systems (Berlin. Periodical) |
| PublicationTitleAbbrev | Energy Syst |
| PublicationYear | 2014 |
| Publisher | Springer Berlin Heidelberg Springer Nature B.V |
| Publisher_xml | – name: Springer Berlin Heidelberg – name: Springer Nature B.V |
| References | Benders (CR1) 1962; 4 Blomvall, Lindberg (CR4) 2002; 17 Pereira, Pinto (CR12) 1991; 52 Mulvey, Vladimirou (CR9) 1991; 31 CR3 Dos Santos, Da Silva, Finardi, Gonçalves (CR5) 2009; 31 CR7 CR18 Kaut, Wallace (CR8) 2007; 3 Ruszczynski (CR15) 1999; 85 CR16 Pennanen, Kallio (CR10) 2006; 142 Birge (CR2) 1985; 33 Reis, Carvalho, Ferreira (CR13) 2005; 20 Slyke, Wets (CR17) 1969; 17 Dupačovà, Gröwe-Kuska, Römisch (CR6) 2003; 95 Pereira, Pinto (CR11) 1985; 21 Rockafellar, Wets (CR14) 1991; 16 J Benders (110_CR1) 1962; 4 M Kaut (110_CR8) 2007; 3 J Mulvey (110_CR9) 1991; 31 110_CR7 110_CR18 M Pereira (110_CR12) 1991; 52 110_CR17 110_CR3 110_CR2 110_CR14 110_CR16 J Dupačovà (110_CR6) 2003; 95 110_CR10 M Pereira (110_CR11) 1985; 21 M Santos Dos (110_CR5) 2009; 31 A Ruszczynski (110_CR15) 1999; 85 F Reis (110_CR13) 2005; 20 J Blomvall (110_CR4) 2002; 17 |
| References_xml | – volume: 52 start-page: 359 issue: 1 year: 1991 end-page: 375 ident: CR12 article-title: Multi-stage stochastic optimization applied to energy planning publication-title: Mathematical Programming doi: 10.1007/BF01582895 – volume: 31 start-page: 399 issue: 1 year: 1991 end-page: 424 ident: CR9 article-title: Applying the progressive hedging algorithm to stochastic generalized networks publication-title: Annals of Operations Research doi: 10.1007/BF02204860 – volume: 21 start-page: 779 issue: 6 year: 1985 end-page: 792 ident: CR11 article-title: Stochastic optimization of a multireservoir hydroelectric system: A decomposition approach publication-title: Water Resources Research doi: 10.1029/WR021i006p00779 – ident: CR18 – volume: 31 start-page: 546 issue: 9 year: 2009 end-page: 552 ident: CR5 article-title: Practical aspects in solving the medium-term operation planning problem of hydrothermal power systems by using the progressive hedging method publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2009.03.032 – ident: CR3 – volume: 95 start-page: 493 issue: 3 year: 2003 end-page: 511 ident: CR6 article-title: Scenario reduction in stochastic programming - an approach using probability metrics publication-title: Mathematical programming doi: 10.1007/s10107-002-0331-0 – volume: 20 start-page: 1151 issue: 2 year: 2005 end-page: 1157 ident: CR13 article-title: Reinforcement scheduling convergence in power systems transmission planning publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2005.846073 – ident: CR16 – volume: 16 start-page: 119 year: 1991 end-page: 147 ident: CR14 article-title: Scenarios and policy aggregation in optimization under uncertainty publication-title: Math. Oper. Res. – volume: 4 start-page: 238 year: 1962 end-page: 252 ident: CR1 article-title: Partitioning procedures for solving mixed-variables programming problems publication-title: Numerische Mathematik doi: 10.1007/BF01386316 – volume: 3 start-page: 257 issue: 2 year: 2007 end-page: 271 ident: CR8 article-title: Evaluation of scenario-generation methods for stochastic programming publication-title: Pacific Journal of Optimization – volume: 142 start-page: 259 year: 2006 end-page: 268 ident: CR10 article-title: A splitting method for stochastic programs publication-title: Ann. Oper. Res. – volume: 85 start-page: 153 year: 1999 end-page: 172 ident: CR15 article-title: Some advances in decomposition methods for stochastic linear programming publication-title: Annals of Operations Research doi: 10.1023/A:1018965626303 – volume: 33 start-page: 989 year: 1985 end-page: 1007 ident: CR2 article-title: Decomposition and partitioning methods for multistage stochastic linear programs publication-title: Oper. Res. – volume: 17 start-page: 383 issue: 3 year: 2002 end-page: 407 ident: CR4 article-title: A riccati-based primal interior point solver for multistage stochastic programming-extensions publication-title: Optimization Methods and Software doi: 10.1080/1055678021000033946 – volume: 17 start-page: 638 year: 1969 end-page: 663 ident: CR17 article-title: L-shaped linear programs with applications to optimal control and stochastic programming publication-title: SIAM J. Appl. Math. – ident: CR7 – volume: 3 start-page: 257 issue: 2 year: 2007 ident: 110_CR8 publication-title: Pacific Journal of Optimization – ident: 110_CR2 – ident: 110_CR3 – volume: 95 start-page: 493 issue: 3 year: 2003 ident: 110_CR6 publication-title: Mathematical programming doi: 10.1007/s10107-002-0331-0 – volume: 20 start-page: 1151 issue: 2 year: 2005 ident: 110_CR13 publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2005.846073 – ident: 110_CR10 – volume: 85 start-page: 153 year: 1999 ident: 110_CR15 publication-title: Annals of Operations Research doi: 10.1023/A:1018965626303 – volume: 31 start-page: 546 issue: 9 year: 2009 ident: 110_CR5 publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2009.03.032 – volume: 31 start-page: 399 issue: 1 year: 1991 ident: 110_CR9 publication-title: Annals of Operations Research doi: 10.1007/BF02204860 – ident: 110_CR14 – ident: 110_CR18 doi: 10.2139/ssrn.1268385 – volume: 4 start-page: 238 year: 1962 ident: 110_CR1 publication-title: Numerische Mathematik doi: 10.1007/BF01386316 – ident: 110_CR16 – volume: 17 start-page: 383 issue: 3 year: 2002 ident: 110_CR4 publication-title: Optimization Methods and Software doi: 10.1080/1055678021000033946 – volume: 21 start-page: 779 issue: 6 year: 1985 ident: 110_CR11 publication-title: Water Resources Research doi: 10.1029/WR021i006p00779 – ident: 110_CR17 – ident: 110_CR7 – volume: 52 start-page: 359 issue: 1 year: 1991 ident: 110_CR12 publication-title: Mathematical Programming doi: 10.1007/BF01582895 |
| SSID | ssj0001072206 ssib031263264 |
| Score | 2.0038016 |
| Snippet | Reservoir systems operations problems are in essence stochastic because of the uncertain nature of natural inflows. This leads to very large stochastic models... Issue Title: Managing Uncertainty in Energy Markets (pp 209-369) Reservoir systems operations problems are in essence stochastic because of the uncertain... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 307 |
| SubjectTerms | Algorithms Analysis Computer programming Decomposition Economics and Management Energy Energy Policy Energy Systems Heuristic Lagrange multiplier Load Mathematical analysis Mathematical models Monitoring Operations Research/Decision Theory Optimization Original Paper Random variables Reservoir management Reservoirs Stochastic models Stochasticity Strategy Studies Systems management Uncertainty Water |
| SummonAdditionalLinks | – databaseName: ABI/INFORM Global dbid: M0C link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELagMMDAG1FeMhITKCKNnTiZUFVRsVAxgOgWOY4tKtEkNG0l_j13btIWJLqwxi85Z9999n2-I-Sae9JXABUcsB3K4TqQTsgCfCuThAY0oq9DY5NNiF4v7Pej5-rCraxolbVOtIo6zRXekd-BZUKPFRfivvh0MGsUelerFBrrZAORDVL6ntxOvZ5YC4ORV8cBe-fiCs-z6TYxSLzDokDUjk77mg6MFfIwkWAE2on_NFUL_PnLZWotUXf3v3PYIzsVBqXt2aLZJ2s6OyDbS5EJD8lbO5UFakI6tJsev9LcUICL1FK6kD0Lpe86xSxHtNDQ4_iLAgSm-KBpNM0HIzoLE13S4Zxjc0Reuw8vnUenysHgKMajMUgP9F8YJIn2Ih1ptPhaeXj5oWEqkkk4P7EoCRg3bmC4r7nUwvhp6gnjMpGwY9LI8kyfEGoArbVMgIjS59o3YSR5IpjhgstEKd4kbv27Y1UFKMc8GR_xIrQySigGCcUooRia3MybFLPoHKsqn9dSiauNWsYLkTTJ1bwYthj6TWSm8wnW4YAq4SDqNcltLfulLv4a8HT1gGdkC9AXn_HOzkljPJroC7KppuNBObq0K_kbCn72aA priority: 102 providerName: ProQuest |
| Title | Adaptive monitoring of the progressive hedging penalty for reservoir systems management |
| URI | https://link.springer.com/article/10.1007/s12667-013-0110-4 https://www.proquest.com/docview/1518231477 https://www.proquest.com/docview/1541434012 |
| Volume | 5 |
| WOSCitedRecordID | wos000219069600007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: ABI/INFORM Global customDbUrl: eissn: 1868-3975 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0001072206 issn: 1868-3967 databaseCode: M0C dateStart: 20100201 isFulltext: true titleUrlDefault: https://search.proquest.com/abiglobal providerName: ProQuest – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1868-3975 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0001072206 issn: 1868-3967 databaseCode: P5Z dateStart: 20100201 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Earth, Atmospheric & Aquatic Science Database customDbUrl: eissn: 1868-3975 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0001072206 issn: 1868-3967 databaseCode: PCBAR dateStart: 20100201 isFulltext: true titleUrlDefault: https://search.proquest.com/eaasdb providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1868-3975 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0001072206 issn: 1868-3967 databaseCode: M7S dateStart: 20100201 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest ABI/INFORM Collection customDbUrl: eissn: 1868-3975 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0001072206 issn: 1868-3967 databaseCode: 7WY dateStart: 20100201 isFulltext: true titleUrlDefault: https://www.proquest.com/abicomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1868-3975 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0001072206 issn: 1868-3967 databaseCode: BENPR dateStart: 20100201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLink customDbUrl: eissn: 1868-3975 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001072206 issn: 1868-3967 databaseCode: RSV dateStart: 20100201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dS8MwED90-qAPfovTOSL4pBRqkzbt4xwbvjiGU6e-lLRLcOC6sS_wv_eua7cpKuhLoM1HyyW5-13ucgdwLhzlxggVLJQdsSW0pyyfe3RXJvINckRX-yZNNiEbDf_pKWhm97hHubd7bpJMOfXishvKEnKTJP8fZB5iFdZcCjZDKnrrMV9E_IoikGc6QHrQYkvHSXNsUmR4iweezK2b3436WT4tQOcXO2kqfurb__rxHdjK0CarzJbHLqzoZA82l2IQ7kO70lED4nmsl25vesv6hiEwZKnzFvnJYu2r7lA-IzbQOOL4nSHYZXR1aTjtd4dsFhB6xHpzb5oDeKjX7qs3VpZtwYq5CMY4T8jpfC-KtBPoQJNs17FDxxzad7jiCjUlHkQeF8b2jHC1UFoat9NxpLG5jPghFJJ-oo-AGcRlV8Yj7OgK7Ro_UCKS3AgpVBTHogh2TuMwzkKRU0aMt3ARRJloFiLNQqJZiF0u5l0GszgcvzUu5RMXZltyFCK0IZOnkLIIZ_Nq3ExkIVGJ7k-ojUD8iCqnU4TLfDKXhvjpg8d_an0CGwi7xMzhrASF8XCiT2E9no67o2EZVmX7uQxr17VG8w6fbu0qlbKFZdN9Kaer_QORofFZ |
| linkProvider | Springer Nature |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LT9wwEB7xqAQ9tAVadVtKjQQcqKLu2k6cHDgsUASCrhCigltwnLFAKpvt7kLFn-pv7Ew22QWkcuPQaxyPlXgenz0vgDUtbegIKgRkO1ygMbJBrCLOlcliTxoxxNiXzSZMpxOfnyfHU_CnzoXhsMpaJ5aKOi8c35F_JcvEHittTBVBeYh3v-l8Ntg62KXNXJdy79vpzn5QtRAInNLJkBYn8Y2jLEOZYIJssNBJPrsjUbPKEvxXSRYp7ZuR1yFqi8aHeS6NbyqTKaK70fsVcJcq9uZWLTumYTaOEk1yNXu8s90-qTlYtbj8eXUAKW95mkbKssEnl6UPVBKZ2rVa5u-ReeTITw5pIn2oHxrHCeJ95KQtbd_e6__tr72BVxXKFu2RWCzAFHYX4eW92otLcNbObY91vbgu1Ro_FYUXBIhFGbTG8cE0eok593ESPSSKwztBIF9wylb_trjqi1Eh7IG4HkcRvYUfz_Kx72CmW3TxPQhPeLTlI8bMocbQx4nVmVFeG20z53QDmvX2pq4qwc6dQH6mk-LRzBEpcUTKHJHSlM3xlN6o_shTLy_XXJBWqmiQTligAavjYVIi7BmyXSxu-B1NuJmO2rIBX2peu0fiXwt-eHrBzzC3f_r9KD066Bx-hHnCmnoUZbcMM8P-DX6CF-52eDXor1RyJODiufnyL7yeVR4 |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3fT9RAEJ4gGKMPgL_iCcia6IumoexOu-0DIQS8QCAXEjXyVrfb3Ugi1_PuwPCv-dc5s23v0ETeePC1P3Z7129nvul8OwPwBqVJLFGFiHyHjdClJspUyntlysyTRUxc5kOzCT0YZGdn-ekC_Or2wrCssrOJwVBXteVv5FvkmThjhVpv-VYWcXrQ3x39iLiDFGdau3YaDUSO3fVPCt8mO0cH9K7fStn_8Gn_MGo7DERWYT6lZ6PVnaVl6WTucsf-zFnJob2jyYwyFB2ovEwV-jj1mDg0TvukqqT2sdKlonHvwZLGNMYgG_zYYVltcyH0NhQJ33tiLWVo9ckF6iOVp7pLsoadfOQoWQPK4iayjPinm5xz37_StcEL9lf-5_9vFZZb7i32msXyGBbc8Ak8ulGR8Sl82avMiD2AuAjGjo-K2guiySJI2Vg1TGe_uYq7O4mRoxGn14Kov-CNXOOr-nwsmvLYE3Ex0xY9g8938suew-KwHroXIDyx1G2fMpNO0CU-yw2WWnnUaEprsQdx96oL2xZm5_4g34t5SWlGR0HoKBgdBd3ybnbLqKlKctvF6x0iitZATYo5HHrwenaaTAvni8zQ1Zd8DRKbpgBc9uB9h7sbQ_xrwpe3T7gJDwh5xcnR4HgNHhIBxUZ6tw6L0_Gl24D79mp6Phm_CgtKwNe7RuBvjYVcrQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Adaptive+monitoring+of+the+progressive+hedging+penalty+for+reservoir+systems+management&rft.jtitle=Energy+systems+%28Berlin.+Periodical%29&rft.au=Zephyr%2C+Luckny&rft.au=Lang%2C+Pascal&rft.au=Lamond%2C+Bernard+F&rft.date=2014-06-01&rft.issn=1868-3967&rft.eissn=1868-3975&rft.volume=5&rft.issue=2&rft.spage=307&rft.epage=322&rft_id=info:doi/10.1007%2Fs12667-013-0110-4&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1868-3967&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1868-3967&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1868-3967&client=summon |