LEADER 01200nam 2200337Ia 450 001 996396761703316 005 20221108011311.0 035 $a(CKB)4330000000346487 035 $a(EEBO)2248580705 035 $a(OCoLC)12191016 035 $a(EXLCZ)994330000000346487 100 $a19850624d1673 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aRoman forgeries, or, A true account of false records$b[electronic resource] $ediscovering the impostures and counterfeit antiquities of the Church of Rome /$fby a faithful son of the Church of England 210 $aLondon $cPrinted by S. and B. Griffin, for Jonathan Edwin ...$d1673 215 $a[35], 316 p 300 $aWritten by T. Traherne. Cf. Halkett & Laing (2nd ed.). 300 $aFirst ed. Cf. BM. 300 $aErrata: p. [15]. 300 $aReproduction of original in Union Theological Seminary Library, New York. 330 $aeebo-0160 700 $aTraherne$b Thomas$fd. 1674.$0197823 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996396761703316 996 $aRoman forgeries, or, A true account of false records$92319495 997 $aUNISA LEADER 06115nam 2200661Ia 450 001 9910438039903321 005 20200520144314.0 010 $a3-319-00206-6 024 7 $a10.1007/978-3-319-00206-4 035 $a(CKB)2670000000371082 035 $a(EBL)1316857 035 $a(SSID)ssj0001009016 035 $a(PQKBManifestationID)11543401 035 $a(PQKBTitleCode)TC0001009016 035 $a(PQKBWorkID)10971592 035 $a(PQKB)11028746 035 $a(DE-He213)978-3-319-00206-4 035 $a(MiAaPQ)EBC1316857 035 $a(PPN)169137457 035 $a(EXLCZ)992670000000371082 100 $a20130404d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aPower, control and optimization /$fIvan Zelinka, Pandian Vasant, Nader Barsoum, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (183 p.) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v239 300 $aDescription based upon print version of record. 311 $a3-319-03285-2 311 $a3-319-00205-8 320 $aIncludes bibliographical references. 327 $aForeword; Contents; 1 Pseudo-Gradient Based Particle Swarm Optimization Method for Nonconvex Economic Dispatch; Abstract; 1...Introduction; 2...Problem Formulation; 2.1 ED Problem with Valve Point Effects; 2.2 ED Problem with Multiple Fuels; 2.3 ED Problem with Both Valve Point Effects and Multiple Fuels; 2.4 ED Problem with Prohibited Operating Zones; 3...Pseudo-Gradient Based Particle Swarm Optimization; 3.1 Self-organizing Hierarchical Particle Swarm Optimizer; 3.2 Pseudo-Gradient Concept; 3.3 Proposed Pseudo-Gradient Based Particle Swarm Optimization 327 $a4...Implementation of PGPSO to Nonconvex ED Problems4.1 Calculation of Power Output for Slack Unit; 4.2 Handling of Ramp Rate Constraints and POZ Violation; 4.3 Implementation of PGPSO; 4.3.1 Initialization; 4.3.2 Calculation of Particle's Velocity and Position; 4.3.3 Stopping Criteria; 5...Numerical Results; 5.1 Selection of Parameters; 5.2 Systems with Valve Point Effects; 5.3 System with Multiple Fuels; 5.4 System with Prohibited Operating Zones; 5.5 Systems with Both Valve Point Effects and Multiple Fuels; 5.5.1 10-unit System; 5.5.2 Large-Scale Systems; 6...Conclusion; A.x(118). Appendix 327 $aReferences2 Energy Consumption Impacted by Climate Change Application: Case Study Astara; Abstract; 1...Introduction; 2...Methods; 2.1 What are Annual and Monthly Heating and Cooling Degree Days?; 2.2 Global Projections; 2.3 Temperature; 2.4 Future Climate Projection for Asia Sub Regions; 2.5 Past Climate Changes in Middle East; 2.6 Climate Projections in Middle East; 2.7 Past Climate Changes in Iran; 2.8 Past Climate Changes in Astara; 2.9 Investigation on Climate Change Projections in Astara and Ardebil; 2.10 Climate Condition in Astara Especial Forest Ecosystem (District 1); 3...Results 327 $a3.1 Precipitation Changes3.2 Temperature Changes; 3.3 Other Climatic Factors Changes; 4...Discussion; 5...Conclusion: Astara Climate Change and Energy Balance; References; 3 Computer Tools for Modelling and Evaluating the Potential of Energy Storage Systems with Reference to the Greek Islands Case; Abstract; 1...Introduction; 2...Energy Storage Technologies-Modeling and Evaluation; 2.1 Battery Energy Storage System; 2.2 Thermal Energy Storage; 2.3 Pumped Hydro Energy Storage; 2.4 Compressed Air Energy Storage; 2.5 Flywheel Energy Storage; 2.6 Superconducting Magnetic Energy Storage 327 $a2.7 Super Capacitor Energy Storage2.8 Hydrogen Energy Storage-Fuel Cells; 3...Microgrids and Distributed Energy Storage; 4...Energy Storage for Greek Island Electrification; 5...Analysis Tools for Energy storage Impact in Micro-grid Applications; 6...Discussion and Concluding Remarks; References; 4 Particle Swarm Intelligence Based Optimization Controller Applied to Two Area Interconnected Power Systems; Abstract; 1...Introduction; 2...Dynamic Model of the System; 2.1 Problem Description; 3...Optimization Techniques; 3.1 Genetic Algorithm; 3.2 Particle Swarm Optimization; 4...Simulation Results 327 $a4.1 Performance Analysis 330 $aThe book consists of chapters based on selected papers of international conference ?Power, Control and Optimization 2012?, held in Las Vegas, USA. Readers can find interesting chapters discussing various topics from the field of power control, its distribution and related fields. Book discusses topics like energy consumption impacted by climate, mathematical modeling of the influence of thermal power plant on the aquatic environment, investigation of cost reduction in residential electricity bill using electric vehicle at peak times or allocation and size evaluation of distributed generation using ANN model and others.  Chapter authors are to the best of our knowledge the originators or closely related to the originators of presented ideas and its applications. Hence, this book certainly is one of the few books discussing the benefit from intersection of those modern and fruitful scientific fields of research with very tight and deep impact on real life and industry. This book is devoted to the studies of common and related subjects in intensive research fields of power technologies. For these reasons, we believe that this book will be useful for scientists and engineers working in the above-mentioned fields of research and applications.  . 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v239 606 $aEnergy consumption 606 $aControl theory 615 0$aEnergy consumption. 615 0$aControl theory. 676 $a621.3 701 $aZelinka$b Ivan$f1965-$01732630 701 $aVasant$b Pandian$01073665 701 $aBarsoum$b Nader N$01760422 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438039903321 996 $aPower, control and optimization$94199390 997 $aUNINA