Forecasting-Aided State Estimation-Part I: Panorama
The art of estimating future values of a random process, based upon previously observed or estimated values, is usually known as a priori estimation, prediction, or forecasting. Power system state estimation process can be enhanced if state/measurement forecasts are incorporated into it. Important r...
Saved in:
| Published in | IEEE transactions on power systems Vol. 24; no. 4; pp. 1667 - 1677 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.11.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | The art of estimating future values of a random process, based upon previously observed or estimated values, is usually known as a priori estimation, prediction, or forecasting. Power system state estimation process can be enhanced if state/measurement forecasts are incorporated into it. Important research efforts have been made in this direction bringing a fresh perspective to the state estimation problem. This paper (Part I) presents a comprehensive survey of forecasting-aided state estimators. It gathers up-covering a period of three decades-research results on the main benefits achieved by state estimators with forecasting capability regarding: data redundancy, innovation analysis, observability, filtering, bad data, and network configuration and parameter error processing. Aspects of modeling, forecasting techniques, and computational effort are also addressed. The second of this two-paper series presents the results of the implementation of a forecasting-aided state estimator in the energy management system of the LIGHT Services of Electricity, a company which provides electric energy to Rio de Janeiro, Brazil. |
|---|---|
| AbstractList | The art of estimating future values of a random process, based upon previously observed or estimated values, is usually known as a priori estimation, prediction, or forecasting. Power system state estimation process can be enhanced if state/measurement forecasts are incorporated into it. Important research efforts have been made in this direction bringing a fresh perspective to the state estimation problem. This paper (Part I) presents a comprehensive survey of forecasting-aided state estimators. It gathers up - covering a period of three decades - research results on the main benefits achieved by state estimators with forecasting capability regarding: data redundancy, innovation analysis, observability, filtering, bad data, and network configuration and parameter error processing. Aspects of modeling, forecasting techniques, and computational effort are also addressed. The second of this two-paper series presents the results of the implementation of a forecasting-aided state estimator in the energy management system of the LIGHT Services of Electricity, a company which provides electric energy to Rio de Janeiro, Brazil. |
| Author | de Souza, J.C.S. Brown Do Coutto Filho, M. |
| Author_xml | – sequence: 1 givenname: M. surname: Brown Do Coutto Filho fullname: Brown Do Coutto Filho, M. organization: Inst. of Comput., Fluminense Fed. Univ., Rio de Janeiro, Brazil – sequence: 2 givenname: J.C.S. surname: de Souza fullname: de Souza, J.C.S. organization: Electr. Eng. Dept., Fluminense Fed. Univ., Rio de Janeiro, Brazil |
| BookMark | eNqFkU9PAjEQxRuDiYB-Ab1sPOhpddpu_3kjBJSERCIYj023W8wS2GK7HPz2FiEePOhlJpn5vZfMvB7qNL5xCF1iuMMY1P1i9vYyvyMAKhUKRLET1MWMyRy4UB3UBSlZLhWDM9SLcQUAPC26iI59cNbEtm7e80FduSqbt6Z12SiNNqatfZPPTGizyUM2M40PZmPO0enSrKO7OPY-eh2PFsOnfPr8OBkOprllQNucE0UwMFsSXuACKC-tYQpU5bithCrBWUqocrjgIhUs5VIQKKGkBBTDhvbR7cF3G_zHzsVWb-po3XptGud3UUsuREFxQRJ58ydJCyWZYvxfkGBMsVQigde_wJXfhSadqyWTQimO927kANngYwxuqbchPS18agx6n4v-zkXvc9HHXJLo6iCqnXM_AkYolZzRL7uqh5E |
| CODEN | ITPSEG |
| CitedBy_id | crossref_primary_10_1109_JSEN_2020_3017920 crossref_primary_10_1016_j_ijepes_2020_106412 crossref_primary_10_1109_JSYST_2021_3058210 crossref_primary_10_1109_TPWRS_2019_2919157 crossref_primary_10_1016_j_epsr_2017_03_002 crossref_primary_10_1002_etep_2481 crossref_primary_10_1109_TCSII_2022_3215514 crossref_primary_10_3389_fenrg_2022_861563 crossref_primary_10_1109_TSG_2023_3286401 crossref_primary_10_1016_j_ijepes_2021_107613 crossref_primary_10_1541_ieejpes_142_441 crossref_primary_10_1002_2050_7038_12901 crossref_primary_10_1109_ACCESS_2022_3224758 crossref_primary_10_1109_TPWRS_2018_2847289 crossref_primary_10_1109_TSG_2015_2408111 crossref_primary_10_1109_TFUZZ_2020_2986982 crossref_primary_10_3389_fenrg_2021_707183 crossref_primary_10_1016_j_ijepes_2021_106806 crossref_primary_10_3390_en12234552 crossref_primary_10_1109_JIOT_2020_3042090 crossref_primary_10_1016_j_segan_2024_101423 crossref_primary_10_1109_TIE_2020_2994874 crossref_primary_10_1109_TPWRS_2021_3107551 crossref_primary_10_1016_j_energy_2016_03_137 crossref_primary_10_1007_s40565_018_0455_8 crossref_primary_10_1109_TSG_2023_3332591 crossref_primary_10_1109_TSG_2019_2909357 crossref_primary_10_1109_TSG_2021_3128053 crossref_primary_10_1109_TIM_2022_3160562 crossref_primary_10_1109_MCS_2018_2888680 crossref_primary_10_1109_TSG_2022_3141803 crossref_primary_10_1002_etep_2779 crossref_primary_10_1049_iet_cta_2017_0629 crossref_primary_10_30724_1998_9903_2021_23_5_13_23 crossref_primary_10_1109_TPWRS_2014_2382102 crossref_primary_10_1109_TPWRS_2015_2487419 crossref_primary_10_1109_TIM_2017_2754838 crossref_primary_10_1109_TPWRS_2013_2277888 crossref_primary_10_1109_ACCESS_2021_3051155 crossref_primary_10_1109_JESTPE_2019_2936587 crossref_primary_10_1016_j_ijepes_2019_05_057 crossref_primary_10_1109_TSG_2015_2492827 crossref_primary_10_3390_s23031387 crossref_primary_10_1051_e3sconf_20186902013 crossref_primary_10_1016_j_ijepes_2018_04_008 crossref_primary_10_1186_s41601_023_00306_w crossref_primary_10_1016_j_segan_2022_100712 crossref_primary_10_1109_ACCESS_2024_3364362 crossref_primary_10_1109_TIA_2020_2979793 crossref_primary_10_3390_en12234457 crossref_primary_10_1109_ACCESS_2017_2777185 crossref_primary_10_3390_en14206787 crossref_primary_10_1049_iet_gtd_2017_1733 crossref_primary_10_1109_TCST_2015_2445852 crossref_primary_10_3390_en16020618 crossref_primary_10_1016_j_ijepes_2021_107192 crossref_primary_10_1109_TPWRS_2019_2896601 crossref_primary_10_1109_TSG_2016_2615473 crossref_primary_10_1007_s11424_017_6062_3 crossref_primary_10_1016_j_epsr_2018_07_019 crossref_primary_10_1109_TIM_2013_2278595 crossref_primary_10_1109_TPWRS_2019_2894769 crossref_primary_10_1016_j_epsr_2023_109417 crossref_primary_10_1049_iet_cps_2019_0031 crossref_primary_10_2139_ssrn_4102937 crossref_primary_10_1631_FITEE_1500301 crossref_primary_10_1016_j_ijepes_2022_108916 crossref_primary_10_1049_iet_cps_2019_0032 crossref_primary_10_1016_j_ifacol_2023_10_1143 crossref_primary_10_1007_s00500_019_03809_7 crossref_primary_10_1109_TPWRS_2015_2477285 crossref_primary_10_1007_s00202_021_01328_z crossref_primary_10_3390_en16155659 crossref_primary_10_1016_j_automatica_2016_06_015 crossref_primary_10_1109_ACCESS_2020_2967638 crossref_primary_10_1109_JAS_2023_123795 crossref_primary_10_1109_TPWRS_2021_3062386 crossref_primary_10_1186_s13634_019_0628_2 crossref_primary_10_1109_TPWRS_2018_2801121 crossref_primary_10_1109_TPWRS_2019_2936141 crossref_primary_10_1109_TSTE_2014_2301915 crossref_primary_10_1109_JSEN_2019_2959663 crossref_primary_10_17588_2072_2672_2021_1_031_040 crossref_primary_10_1109_TNNLS_2014_2381853 crossref_primary_10_1016_j_epsr_2022_108305 crossref_primary_10_1109_MSP_2012_2187037 crossref_primary_10_1109_TPWRS_2019_2909150 crossref_primary_10_1016_j_epsr_2021_107510 crossref_primary_10_1002_tee_23210 crossref_primary_10_1109_TPWRS_2022_3144316 crossref_primary_10_1109_TPWRS_2009_2030295 crossref_primary_10_1109_TPWRS_2009_2030297 crossref_primary_10_1109_TSMC_2019_2895912 crossref_primary_10_1109_JSYST_2022_3171751 crossref_primary_10_1109_TSG_2023_3272343 crossref_primary_10_1016_j_automatica_2020_109408 crossref_primary_10_1016_j_rser_2017_06_071 crossref_primary_10_1049_cps2_12000 crossref_primary_10_1007_s40313_021_00773_2 crossref_primary_10_1109_TPWRS_2016_2632156 crossref_primary_10_1109_TIM_2020_2999757 crossref_primary_10_1109_TPWRS_2014_2304620 crossref_primary_10_1109_MIE_2019_2958039 crossref_primary_10_1049_iet_gtd_2018_6351 crossref_primary_10_1109_TIM_2023_3346502 crossref_primary_10_1016_j_ijepes_2024_109797 crossref_primary_10_1109_TSG_2023_3328114 crossref_primary_10_1016_j_ijepes_2021_107396 crossref_primary_10_1016_j_epsr_2020_106788 crossref_primary_10_1049_stg2_12168 crossref_primary_10_1002_cpe_4726 crossref_primary_10_1109_TSP_2019_2926023 |
| Cites_doi | 10.1109/TPAS.1982.317110 10.1049/ip-c.1982.0032 10.1109/TPAS.1970.292678 10.1016/0378-7796(81)90005-5 10.1109/TPAS.1971.292844 10.1109/59.736273 10.1049/ip-c.1989.0003 10.1109/59.709101 10.1049/ip-gtd:20020644 10.1007/978-3-540-71918-2 10.1109/TPWRS.1987.4335167 10.1109/TPWRS.2004.825981 10.1109/TPAS.1974.293889 10.1109/TPWRS.2003.818726 10.1109/TPAS.1970.292822 10.1201/9780203913673 10.1016/0142-0615(90)90006-W 10.1109/59.867136 10.1109/59.65925 10.1109/TPWRS.2005.857941 10.1049/ip-gtd:19990462 10.1109/MSPEC.1978.6369445 10.1109/59.387921 10.1049/ip-gtd:19951715 10.1016/0142-0615(89)90010-0 10.1109/TPWRS.2003.821442 10.1109/PCT.2007.4538595 10.1049/ip-c.1989.0021 10.1109/TPWRS.2009.2030295 10.1016/0378-7796(85)90002-1 10.1109/PTC.1999.826703 10.1109/TPAS.1967.291728 10.1049/piee.1976.0096 10.1109/PROC.1987.13930 10.1109/59.982205 10.1109/59.708645 10.1002/eej.4390980108 10.1002/eej.4390960511 10.1007/978-1-4615-4999-4 10.1016/S0378-7796(97)01219-4 10.1016/0142-0615(90)90003-T 10.1109/59.801876 10.1109/TPWRS.2006.881113 10.1016/0142-0615(91)90041-S 10.1109/PROC.1974.9541 10.1016/S0378-7796(00)00117-6 10.1109/TPWRS.2003.810894 10.1049/ip-c.1983.0046 10.1049/ip-c.1991.0046 10.1109/TPWRS.1987.4335300 10.1016/0005-1098(88)90108-2 10.1016/0142-0615(95)93277-6 10.4324/9780203491683 10.1109/MPAE.2004.1269612 10.1109/59.535702 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009 |
| DBID | 97E RIA RIE AAYXX CITATION 7SP 7TB 8FD FR3 KR7 L7M 7TG KL. F28 |
| DOI | 10.1109/TPWRS.2009.2030295 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005-present IEEE All-Society Periodicals Package (ASPP) 1998-Present IEEE/IET Electronic Library (IEL) CrossRef Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database Civil Engineering Abstracts Advanced Technologies Database with Aerospace Meteorological & Geoastrophysical Abstracts Meteorological & Geoastrophysical Abstracts - Academic ANTE: Abstracts in New Technology & Engineering |
| DatabaseTitle | CrossRef Civil Engineering Abstracts Engineering Research Database Technology Research Database Mechanical & Transportation Engineering Abstracts Advanced Technologies Database with Aerospace Electronics & Communications Abstracts Meteorological & Geoastrophysical Abstracts - Academic Meteorological & Geoastrophysical Abstracts ANTE: Abstracts in New Technology & Engineering |
| DatabaseTitleList | Meteorological & Geoastrophysical Abstracts - Academic Civil Engineering Abstracts Meteorological & Geoastrophysical Abstracts - Academic |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE/IET Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1558-0679 |
| EndPage | 1677 |
| ExternalDocumentID | 2303873341 10_1109_TPWRS_2009_2030295 5233865 |
| Genre | orig-research |
| GeographicLocations | Brazil Brazil, Rio de Janeiro |
| GeographicLocations_xml | – name: Brazil, Rio de Janeiro – name: Brazil |
| GroupedDBID | -~X .DC 0R~ 29I 3EH 4.4 5GY 5VS 6IK 85S 97E AAJGR AASAJ ABFSI ABQJQ ABVLG ACGFO ACGFS ACIWK ACKIV AENEX AETIX AI. AIBXA AKJIK ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 E.L EBS EJD HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI M43 MS~ O9- OCL P2P RIA RIE RIG RNS TAE TN5 VH1 VJK XFK AAYXX CITATION 7SP 7TB 8FD FR3 KR7 L7M 7TG KL. F28 |
| ID | FETCH-LOGICAL-c503t-6292105cb26414036bca5909de6cd79b0ec3239e1467e14188f720b0b320951a3 |
| IEDL.DBID | RIE |
| ISSN | 0885-8950 |
| IngestDate | Fri Aug 16 07:43:06 EDT 2024 Fri Aug 16 00:47:39 EDT 2024 Fri Aug 16 05:37:39 EDT 2024 Thu Oct 10 15:22:08 EDT 2024 Fri Aug 23 00:43:15 EDT 2024 Wed Jun 26 19:30:22 EDT 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c503t-6292105cb26414036bca5909de6cd79b0ec3239e1467e14188f720b0b320951a3 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
| PQID | 858799616 |
| PQPubID | 23462 |
| PageCount | 11 |
| ParticipantIDs | proquest_miscellaneous_21131897 ieee_primary_5233865 crossref_primary_10_1109_TPWRS_2009_2030295 proquest_miscellaneous_34985956 proquest_journals_858799616 proquest_miscellaneous_867743142 |
| PublicationCentury | 2000 |
| PublicationDate | 2009-11-01 |
| PublicationDateYYYYMMDD | 2009-11-01 |
| PublicationDate_xml | – month: 11 year: 2009 text: 2009-11-01 day: 01 |
| PublicationDecade | 2000 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York |
| PublicationTitle | IEEE transactions on power systems |
| PublicationTitleAbbrev | TPWRS |
| PublicationYear | 2009 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref57 ref12 ref59 ref15 chatfield (ref21) 2003 ref58 ref14 ref53 ref52 ref55 ref10 ref19 ref18 do coutto filho (ref11) 1993; ii ref51 ref50 (ref64) 0 abur (ref8) 2004 ref46 mallieu (ref47) 1986; 2 masiello (ref22) 1971; pas 90 ref45 ref48 ref41 ref44 ref43 souza (ref33) 1996; ii ref49 allam (ref20) 1976; 123 handschin (ref23) 1972 ref7 ref9 ref4 souza (ref35) 1998; 144 ref3 ref6 ref5 ref40 durbin (ref67) 2001 ref34 ref37 burnham (ref62) 2002 ref36 ref32 ref2 ref1 do coutto filho (ref42) 1999; 1 ref39 ref38 bahgat (ref54) 1989; 136 abur (ref65) 2006 do coutto filho (ref30) 1989; 136 ilic (ref13) 2000 hyndman (ref66) 2008 ref68 ref24 ref26 alves da silva (ref31) 1991; 138 ref69 ref25 ref63 ref28 ref27 sadecky (ref56) 1993; ii ref29 alves da silva (ref17) 1993; i ref60 ref61 kundur (ref16) 2004; 19 |
| References_xml | – ident: ref24 doi: 10.1109/TPAS.1982.317110 – ident: ref27 doi: 10.1049/ip-c.1982.0032 – ident: ref1 doi: 10.1109/TPAS.1970.292678 – ident: ref51 doi: 10.1016/0378-7796(81)90005-5 – volume: pas 90 start-page: 1025 year: 1971 ident: ref22 article-title: a tracking static state estimator publication-title: IEEE Trans Power App Syst doi: 10.1109/TPAS.1971.292844 contributor: fullname: masiello – ident: ref59 doi: 10.1109/59.736273 – volume: 136 start-page: 15 year: 1989 ident: ref54 article-title: Two level dynamic state estimator for electric power systems based on nonlinear transformation publication-title: IEE Proceedings C - Generation Transmission and Distribution doi: 10.1049/ip-c.1989.0003 contributor: fullname: bahgat – ident: ref6 doi: 10.1109/59.709101 – ident: ref38 doi: 10.1049/ip-gtd:20020644 – year: 2008 ident: ref66 publication-title: Forecasting With Exponential Smoothing The State Space Approach doi: 10.1007/978-3-540-71918-2 contributor: fullname: hyndman – ident: ref53 doi: 10.1109/TPWRS.1987.4335167 – volume: 19 start-page: 1387 year: 2004 ident: ref16 article-title: definition and classification of power system stability publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2004.825981 contributor: fullname: kundur – ident: ref50 doi: 10.1109/TPAS.1974.293889 – ident: ref40 doi: 10.1109/TPWRS.2003.818726 – ident: ref18 doi: 10.1109/TPAS.1970.292822 – year: 2004 ident: ref8 publication-title: Power System State Estimation Theory and Implementation doi: 10.1201/9780203913673 contributor: fullname: abur – volume: 1 start-page: 441 year: 1999 ident: ref42 article-title: strategies for preserving data redundancy in power system state estimation publication-title: Proc 12th Power Syst Comput Conf contributor: fullname: do coutto filho – ident: ref10 doi: 10.1016/0142-0615(90)90006-W – year: 2002 ident: ref62 publication-title: Model Selection and Multi-Model Inference A Practical Information-Theoretic Approach contributor: fullname: burnham – ident: ref63 doi: 10.1109/59.867136 – ident: ref5 doi: 10.1109/59.65925 – ident: ref61 doi: 10.1109/TPWRS.2005.857941 – volume: ii start-page: 1214 year: 1996 ident: ref33 article-title: information debugging in forecasting-aided state estimation using a pattern analysis approach publication-title: Proc 12th Power Syst Comput Conf contributor: fullname: souza – start-page: 29 year: 1972 ident: ref23 publication-title: Real Time Control of Electric Power Systems contributor: fullname: handschin – ident: ref49 doi: 10.1049/ip-gtd:19990462 – year: 2001 ident: ref67 publication-title: Time Series Analysis by State Space Methods contributor: fullname: durbin – volume: 2 start-page: 255 year: 1986 ident: ref47 article-title: dynamic multilevel filtering for real-time estimation of electric power system publication-title: ControlTheory & Adv Tech No (C-TAT Special Issue on Large-Scale Systems) contributor: fullname: mallieu – ident: ref15 doi: 10.1109/MSPEC.1978.6369445 – ident: ref58 doi: 10.1109/59.387921 – ident: ref57 doi: 10.1049/ip-gtd:19951715 – ident: ref55 doi: 10.1016/0142-0615(89)90010-0 – ident: ref68 doi: 10.1109/TPWRS.2003.821442 – ident: ref44 doi: 10.1109/PCT.2007.4538595 – volume: 136 start-page: 145 year: 1989 ident: ref30 article-title: Information debugging for real-time power systems monitoring publication-title: IEE Proceedings C - Generation Transmission and Distribution doi: 10.1049/ip-c.1989.0021 contributor: fullname: do coutto filho – ident: ref12 doi: 10.1109/TPWRS.2009.2030295 – ident: ref52 doi: 10.1016/0378-7796(85)90002-1 – ident: ref43 doi: 10.1109/PTC.1999.826703 – ident: ref14 doi: 10.1109/TPAS.1967.291728 – volume: 123 start-page: 433 year: 1976 ident: ref20 article-title: power-system dynamic-state estimation by optimal variable incremental displacements publication-title: Proc Inst Elect Eng C doi: 10.1049/piee.1976.0096 contributor: fullname: allam – ident: ref3 doi: 10.1109/PROC.1987.13930 – ident: ref37 doi: 10.1109/59.982205 – ident: ref36 doi: 10.1109/59.708645 – ident: ref26 doi: 10.1002/eej.4390980108 – ident: ref25 doi: 10.1002/eej.4390960511 – ident: ref7 doi: 10.1007/978-1-4615-4999-4 – ident: ref60 doi: 10.1016/S0378-7796(97)01219-4 – ident: ref4 doi: 10.1016/0142-0615(90)90003-T – ident: ref46 doi: 10.1109/59.801876 – ident: ref69 doi: 10.1109/TPWRS.2006.881113 – ident: ref45 doi: 10.1016/0142-0615(91)90041-S – volume: i start-page: 461 year: 1993 ident: ref17 article-title: state forecasting based on artificial neural networks publication-title: Proc 11th Power Syst Comput Conf contributor: fullname: alves da silva – ident: ref2 doi: 10.1109/PROC.1974.9541 – volume: ii start-page: 705 year: 1993 ident: ref56 article-title: state estimation and short term load prediction as components of the power system security assessment publication-title: Proc 5th Power Syst Computation Conf (PSCC) contributor: fullname: sadecky – ident: ref41 doi: 10.1016/S0378-7796(00)00117-6 – year: 0 ident: ref64 publication-title: Next Generation State Estimation (Predictive Dynamic With System Identification) – year: 2000 ident: ref13 publication-title: Dynamics and control of the large electric power systems contributor: fullname: ilic – ident: ref39 doi: 10.1109/TPWRS.2003.810894 – volume: ii start-page: 689 year: 1993 ident: ref11 article-title: state estimators with forecasting capability publication-title: Proc 11th Power Syst Comput Conf contributor: fullname: do coutto filho – ident: ref28 doi: 10.1049/ip-c.1983.0046 – volume: 138 start-page: 365 year: 1991 ident: ref31 article-title: solving data acquisition and processing problems in power systems using a pattern analysis approach publication-title: IEE Proceedings Generation Transmission and Distribution [see also IEE Proceedings-Generation Transmission and Distribution] doi: 10.1049/ip-c.1991.0046 contributor: fullname: alves da silva – volume: 144 start-page: 445 year: 1998 ident: ref35 article-title: data visualization and identification of anomalies in power system state estimation using artificial neural networks publication-title: Proc Inst Elect Eng C contributor: fullname: souza – ident: ref29 doi: 10.1109/TPWRS.1987.4335300 – ident: ref19 doi: 10.1109/TPAS.1974.293889 – ident: ref48 doi: 10.1016/0005-1098(88)90108-2 – ident: ref32 doi: 10.1016/0142-0615(95)93277-6 – year: 2003 ident: ref21 publication-title: The Analysis of Time Series An Introduction doi: 10.4324/9780203491683 contributor: fullname: chatfield – ident: ref9 doi: 10.1109/MPAE.2004.1269612 – ident: ref34 doi: 10.1109/59.535702 – year: 2006 ident: ref65 publication-title: Enhanced State Estimators contributor: fullname: abur |
| SSID | ssj0006679 |
| Score | 2.4178758 |
| Snippet | The art of estimating future values of a random process, based upon previously observed or estimated values, is usually known as a priori estimation,... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Publisher |
| StartPage | 1667 |
| SubjectTerms | Data analysis Filtering Observability Power measurement Power system measurements Random processes Redundancy State estimation state forecasting Technological innovation |
| Title | Forecasting-Aided State Estimation-Part I: Panorama |
| URI | https://ieeexplore.ieee.org/document/5233865 https://www.proquest.com/docview/858799616 https://search.proquest.com/docview/21131897 https://search.proquest.com/docview/34985956 https://search.proquest.com/docview/867743142 |
| Volume | 24 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3dS8MwED-2PemDX1Oc86MPvmm2rm3SxLchkylMhm64t5ImKYjYidte_Ou9pN0Y6sCXUtpQQu5y97te7ncAl6GRTEZKEITLkkSGG4JOjxKp0SDzDlVU2QLnwSPrj6OHCZ1U4HpVC2OMcYfPTMveuly-nqqF_VXWxqDJtqisQjUWoqjVWlldxgpePc4p4YL6ywIZX7RHw5en54KaMkCdDmwviTUn5Lqq_DLFzr_c7cJgObPiWMlbazFPW-rrB2njf6e-Bzsl0PS6hWbsQ8XkB7C9Rj9Yh9D25VRyZk8-k-6rNtpz2NPr4aOipJEMUbW8-xtvKHNUlnd5COO73ui2T8omCkRRP5wTFgiM6qhKEflYbj6WKkmFL7RhSsci9Y0Kg1AYazHx0uE8iwM_9dMwsOhLhkdQy6e5OQZPikjGmeZpwLNI80xQ3WGaW86yjKIzbMDVclWTj4IrI3Exhi8SJwPb81IkpQwaULfLtBpZrlADmktBJOV2miWccpQ467AGXKze4j6wyQ2Zm-lilmAgi-ZJxJtHhJGwZG74DW_DCMvth4AqCk7-nlsTtlwyyZUinkJt_rkwZ4hJ5um5U8ZvcnjcZw |
| link.rule.ids | 315,783,787,799,27938,27939,55088 |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8MwDLZ4HIADb8R49sANMrq2SRNuCIHGY2iCIbhVaZJKCNEhtl349dhpNyEeEpeqaq3KShz7cxN_BjiInRY6MYohXNYscdIxDHqcaYsOWba44YYKnDu3ov2QXD3xpyk4mtTCOOf84TPXpFu_l2_7ZkS_yo4xaaIWldMwywlXVNVaE78rRMWsJyVnUvFwXCITquNe9_HuviKnjNCqI-om8SUM-b4qP5yxjzAXS9AZ61YdLHlpjoZ503x8o238r_LLsFhDzeC0so0VmHLlKix8ISBcg5g6cxo9oLPP7PTZOht49Bmc46OqqJF10biCy5Ogq0s0l1e9Dg8X572zNqvbKDDDw3jIRKQwr-MmR-xD7HwiN5qrUFknjE1VHjoTR7Fy5DPx0pKySKMwD_M4Ivyl4w2YKful24RAq0SnhZV5JIvEykJx2xJWEmtZwTEcNuBwPKrZW8WWkfksI1SZnwPqeqmyeg4asEbDNJGsR6gB2-OJyOoFNcgklymmZi3RgP3JW1wJtL2hS9cfDTJMZdFBqfRviThRROeG3wj-kCB2P4RUSbT1u277MNfudW6ym8vb622Y91tLvjBxB2aG7yO3iwhlmO95w_wEJ2rftA |
| 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=Forecasting-Aided+State+Estimation-Part+I%3A+Panorama&rft.jtitle=IEEE+transactions+on+power+systems&rft.au=Brown+Do+Coutto+Filho%2C+M.&rft.au=de+Souza%2C+J.C.S.&rft.date=2009-11-01&rft.pub=IEEE&rft.issn=0885-8950&rft.eissn=1558-0679&rft.volume=24&rft.issue=4&rft.spage=1667&rft.epage=1677&rft_id=info:doi/10.1109%2FTPWRS.2009.2030295&rft.externalDocID=5233865 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0885-8950&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0885-8950&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0885-8950&client=summon |