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001442834 020__ $$a9783030920388$$q(electronic bk.)
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001442834 0247_ $$a10.1007/978-3-030-92038-8$$2doi
001442834 035__ $$aSP(OCoLC)1286662350
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001442834 050_4 $$aTD159.4$$b.I58 2021
001442834 08204 $$a307.760285$$223
001442834 1112_ $$aInternational Conference on Artificial Intelligence in Renewable Energetic Systems$$n(5th :$$d2021)
001442834 24510 $$aArtificial intelligence and heuristics for smart energy efficiency in smart cities :$$bcase study : Tipasa, Algeria /$$cMustapha Hatti, editor.
001442834 264_1 $$aCham :$$bSpringer,$$c[2022]
001442834 264_4 $$c©2022
001442834 300__ $$a1 online resource :$$billustrations (chiefly color)
001442834 336__ $$atext$$btxt$$2rdacontent
001442834 337__ $$acomputer$$bc$$2rdamedia
001442834 338__ $$aonline resource$$bcr$$2rdacarrier
001442834 347__ $$atext file
001442834 347__ $$bPDF
001442834 4901_ $$aLecture notes in networks and systems,$$x2367-3389 ;$$vvolume 361
001442834 500__ $$aProceedings of the 5th International Conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES 2021.
001442834 500__ $$aIncludes author index.
001442834 5050_ $$aIntro -- Contents -- Smart Energy Efficiency -- For a Smarter and More Sustainable City: Tipasa with Its Potentialities -- 1 Introduction -- 2 Methodology -- 3 Results and Discussions -- 4 Conclusion -- References -- Elephant Herding Optimization Metaheuristic to Minimize Electricity Cost in a Smart House -- 1 Introduction -- 2 Related Work -- 3 The Problem Modeling -- 4 The Proposed Solution Modeling -- 5 Simulation and Results -- 6 Conclusion -- References -- Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria -- 1 Introduction
001442834 5058_ $$a2 Hybrid System Components Modelling -- 2.1 Solar PV -- 2.2 Wind Turbine -- 2.3 Storage Battery -- 2.4 Diesel Generator -- 2.5 DC/AC Converter -- 3 Problem Formulation -- 3.1 Particle Swarm Optimization -- 3.2 Objective Function and Constraints -- 3.3 Constraints -- 4 Results and Discussion -- 4.1 System Data -- 4.2 Analysis -- 5 Conclusion -- References -- Prediction and Characterization of Cooling Load Energy Performance of Residential Building Machine Learning Algorithms -- 1 Introduction -- 2 Methodology -- 3 Simulation Results and Discussion -- 4 Conclusion -- References
001442834 5058_ $$aPrediction and Characterization of Heating Load Energy Performance of Residential Building Machine Learning Algorithms -- 1 Introduction -- 2 Methodology -- 3 Simulation Results and Discussion -- 4 Conclusion -- References -- MPPT Based On Grey Wolf Optimization -- 1 Introduction -- 2 PV Module -- 3 Direct Torque Control DTC -- 3.1 The Definition of Primary Voltage Vectors -- 3.2 The Definition of Stator Flux Band Electromagnetic Torque -- 4 MPPT By GWO -- 5 Tuning PI Gains By Grey Wolf Otimizatiom -- 6 Simulation Results -- 7 Conclusion -- References
001442834 5058_ $$aOptimal Power Flow Management of the Algerian Electric Transmission System Using Moth Flame Optimizer Algorithm -- 1 Introduction -- 2 Formulation of the Optimal Power Flow Problem -- 2.1 Objective Functions -- 2.2 Constraints -- 3 Moth-Flame Optimization Algorithm MFO -- 3.1 Creating the Initial Population of Moths -- 3.2 Updating the Moths' Positions -- 3.3 Termination Criteria -- 4 Analysis of the Algerian Electrical Transport Network -- 4.1 Power Flow Results -- 4.2 Optimization Results -- 5 Conclusion -- References
001442834 5058_ $$aWind Energy Conversion System Controlled by Particle Swarm Optimization Super Twisting Sliding Mode Control Equipped with Doubly Fed Induction Generator -- 1 Introduction -- 2 WECS Modeling -- 2.1 Wind Turbine Model -- 2.2 DFIG Model -- 2.3 Field Oriented Control of DFIG -- 3 Proposed Control Strategy Consept -- 4 Wind Turbine STSMC -- 5 DFIG STSMC -- 5.1 Active Stator Power Control -- 5.2 Reactive Stator Power Control -- 6 Overview of PSO Algorithm -- 7 Optimization Problem Selection -- 8 Simulation Results -- 9 Conclusion -- References
001442834 506__ $$aAccess limited to authorized users.
001442834 520__ $$aThis book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations--mainly ICT--the concept of "Smart City" appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility
001442834 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 7, 2021).
001442834 650_0 $$aSmart cities$$zAlgeria$$zTipaza$$vCongresses.
001442834 650_0 $$aArtificial intelligence$$xEngineering applications$$vCongresses.
001442834 650_0 $$aRenewable energy sources$$vCongresses.
001442834 650_6 $$aIntelligence artificielle$$xApplications en ingénierie$$vCongrès.
001442834 650_6 $$aÉnergies renouvelables$$vCongrès.
001442834 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001442834 655_7 $$aConference papers and proceedings.$$2lcgft
001442834 655_7 $$aActes de congrès.$$2rvmgf
001442834 655_0 $$aElectronic books.
001442834 7001_ $$aHatti, Mustapha,$$eeditor.
001442834 77608 $$iPrint version:$$z3030920372$$z9783030920371$$w(OCoLC)1281243293
001442834 830_0 $$aLecture notes in networks and systems ;$$vv. 361.$$x2367-3389
001442834 852__ $$bebk
001442834 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-92038-8$$zOnline Access$$91397441.1
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001442834 980__ $$aEBOOK
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