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010   $a981-9757-18-5
024 7 $a10.1007/978-981-97-5718-3
035   $a(CKB)36527922600041
035   $a(DE-He213)978-981-97-5718-3
035   $a(EXLCZ)9936527922600041
100   $a20241103d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIntelligent Methods in Electrical Power Systems /$fedited by Chetan B. Khadse, Ishaan R. Kale, Apoorva S. Shastri
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (XIII, 171 p. 100 illus., 79 illus. in color.) 
225 1 $aEngineering Optimization: Methods and Applications,$x2731-4057
311 08$a981-9757-17-7 
327   $aReview on intelligent methods in Electrical power systems -- Investigation of Electric Load Forecasting Methods: A Weka Application (Regression and Optimization) -- Integration of Intelligent Systems for Efficient Smart Grid Management -- An Application of Artificial Bee Colony and Cohort Intelligence in Automatic Generation Control of Thermal Power System -- Distribution System Losses and Its Allocation: Effects of Load Power Factor and Distributed Generations -- IoT based Intelligent Home Automation System using IFTTT with Google Assistant -- A review on Meta-heuristic Optimization Methods for Efficient Power System Operation -- Ice thickness control circuit to automate the milk chilling system -- SCGB Neural Network based Micro-grid AC Side Fault Analysis -- Artificial intelligence based system for detection and classification of faults in Induction motor.
330   $aThis book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering. It covers various power system applications including efficient power system operation, load forecasting, fault analysis, home automation and efficient smart grid management. Each application is accompanied by case studies and a literature review in self-contained chapters. The book is dedicated to study the effectiveness of intelligent methods in addressing the power system problems and its mitigation using optimization algorithms. It discusses several optimization algorithms such as random forest algorithm, metaheuristic algorithm, scaled conjugate gradient descent algorithm, artificial bee colony algorithm etc. and their usability in intelligent decision makers for the various optimization problems in electrical engineering. This timely book serves as a practical guide and reference sources for students, researchers and professionals.
410  0$aEngineering Optimization: Methods and Applications,$x2731-4057
606   $aComputational intelligence
606   $aElectric power production
606   $aArtificial intelligence
606   $aAlgorithms
606   $aMathematical optimization
606   $aComputational Intelligence
606   $aElectrical Power Engineering
606   $aArtificial Intelligence
606   $aAlgorithms
606   $aOptimization
615  0$aComputational intelligence.
615  0$aElectric power production.
615  0$aArtificial intelligence.
615  0$aAlgorithms.
615  0$aMathematical optimization.
615 14$aComputational Intelligence.
615 24$aElectrical Power Engineering.
615 24$aArtificial Intelligence.
615 24$aAlgorithms.
615 24$aOptimization.
676   $a006.3
702   $aKhadse$b Chetan B$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aKale$b Ishaan R$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aShastri$b Apoorva S$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910903791703321
996   $aIntelligent Methods in Electrical Power Systems$94272895
997   $aUNINA