LEADER 01785nas 2200505-a 450 001 9910892964403321 005 20240413025247.0 035 $a(DE-599)ZDB2733416-8 035 $a(CKB)991042725149742 035 $a(CONSER)---75940978- 035 $a(EXLCZ)99991042725149742 100 $a20760714a19749999 -a- a 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aReport on the labour force survey of Singapore 210 $aSingapore $cMinistry of Labour 215 $a1 online resource 311 08$aPrint version: Report on the labour force survey of Singapore. 0129-6965 (DLC) 75940978 (OCoLC)2310369 517 3 $aLabour force survey of Singapore 517 1 $aReport on labour force in Singapore 531 0 $aRep. labour force surv. Singap. 606 $aLabor supply$zSingapore$vStatistics$vPeriodicals 606 $aLabor supply$2fast$3(OCoLC)fst00990165 606 $aLABOUR SUPPLY$2unbist 606 $aSTATISTICS$2unbist 606 $aSINGAPORE$2unbist 607 $aSingapore$2fast$1https://id.oclc.org/worldcat/entity/E39PBJpV8D6qM4JGxDqvHvtYfq 608 $aPeriodicals.$2fast 608 $aStatistics.$2fast 615 0$aLabor supply 615 7$aLabor supply. 615 7$aLABOUR SUPPLY. 615 7$aSTATISTICS. 615 7$aSINGAPORE. 676 $a331.1/1/095952 712 02$aSingapore.$bMinistry of Labour.$bResearch and Statistics Department. 712 02$aSingapore.$bNational Statistical Commission. 712 02$aSingapore.$bManpower Research and Statistics Department. 906 $aJOURNAL 912 $a9910892964403321 920 $aexl_impl conversion 996 $aReport on the labour force survey of Singapore$94272234 997 $aUNINA LEADER 05150nam 22008175 450 001 9910254884703321 005 20240702094349.0 010 $a9781137412973 010 $a1137412976 024 7 $a10.1057/9781137412973 035 $a(CKB)3710000000653522 035 $a(SSID)ssj0001669178 035 $a(PQKBManifestationID)16460467 035 $a(PQKBTitleCode)TC0001669178 035 $a(PQKBWorkID)12404088 035 $a(PQKB)11285083 035 $a(DE-He213)978-1-137-41297-3 035 $a(MiAaPQ)EBC4720566 035 $a(Perlego)3489754 035 $a(EXLCZ)993710000000653522 100 $a20160430d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aOptimization Methods for Gas and Power Markets $eTheory and Cases /$fby Enrico Edoli, Stefano Fiorenzani, Tiziano Vargiolu 205 $a1st ed. 2016. 210 1$aLondon :$cPalgrave Macmillan UK :$cImprint: Palgrave Macmillan,$d2016. 215 $a1 online resource (XVII, 192 p.) 225 1 $aApplied Quantitative Finance,$x2947-7018 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781137412966 311 08$a1137412968 311 08$a9781349568154 311 08$a1349568155 320 $aIncludes bibliographical references at the end of each chapters and index. 330 $aAs power and gas markets are becoming more and more mature and globally competitive, the importance of reaching maximum potential economic efficiency is fundamental in all the sectors of the value chain, from investments selection to asset optimization, trading and sales. Optimization techniques can be used in many different fields of the energy industry, in order to reduce production and financial costs, increase sales revenues and mitigate all kinds of risks potentially affecting the economic margin. For this reason the industry has now focused its attention on the general concept of optimization and to the different techniques (mainly mathematical techniques) to reach it. Optimization Methods for Gas and Power Markets presents both theoretical elements and practical examples for solving energy optimization issues in gas and power markets. Starting with the theoretical framework and the basic business and economics of power and gas optimization, it quickly moves on to review the mathematical optimization problems inherent to the industry, and their solutions - all supported with examples from the energy sector. Coverage ranges from very long-term (and capital intensive) optimization problems such as investment valuation/diversification to asset (gas and power) optimization/hedging problems, and pure trading decisions. This book first presents the readers with various examples of optimization problems arising in power and gas markets, then deals withgeneral optimization problems and describes the mathematical tools useful for their solution. The remainder of the book is dedicated to presenting a number of key business cases which apply the proposed techniques to concrete market problems. Topics include static asset optimization, real option evaluation, dynamic optimization of structured products like swing, virtual storage or virtual power plant contracts and optimal trading in intra-day power markets. As the book progresses, so too does the level of mathematical complexity, providing readers with an appreciation of the growing sophistication of even common problems in current market practice. Optimization Methods for Gas and Power Markets provides a valuable quantitative guide to the technicalities of optimization methodologies in gas and power markets; it is essential reading for practitioners in the energy industry and financial sector who work in trading, quantitative analysis and energy risk modeling. 410 0$aApplied Quantitative Finance,$x2947-7018 606 $aEconometrics 606 $aEnergy policy 606 $aEnergy policy 606 $aBusiness mathematics 606 $aFinance 606 $aSocial sciences 606 $aHumanities 606 $aEconometrics 606 $aEnergy Policy, Economics and Management 606 $aBusiness Mathematics 606 $aFinancial Economics 606 $aHumanities and Social Sciences 615 0$aEconometrics. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 0$aBusiness mathematics. 615 0$aFinance. 615 0$aSocial sciences. 615 0$aHumanities. 615 14$aEconometrics. 615 24$aEnergy Policy, Economics and Management. 615 24$aBusiness Mathematics. 615 24$aFinancial Economics. 615 24$aHumanities and Social Sciences. 676 $a333.793/23 700 $aEdoli$b Enrico$4aut$4http://id.loc.gov/vocabulary/relators/aut$0961809 702 $aFiorenzani$b Stefano$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aVargiolu$b Tiziano$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254884703321 996 $aOptimization Methods for Gas and Power Markets$92242538 997 $aUNINA