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001469745 001__ 1469745
001469745 003__ OCoLC
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001469745 019__ $$a1382693440
001469745 020__ $$a9783031264962$$q(electronic bk.)
001469745 020__ $$a3031264967$$q(electronic bk.)
001469745 020__ $$z9783031264955
001469745 020__ $$z3031264959
001469745 0247_ $$a10.1007/978-3-031-26496-2$$2doi
001469745 035__ $$aSP(OCoLC)1382690149
001469745 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF
001469745 049__ $$aISEA
001469745 050_4 $$aTJ808
001469745 08204 $$a333.79/4$$223/eng/20230626
001469745 24500 $$aAdvances in artificial intelligence for renewable energy systems and energy autonomy /$$cMukhdeep Singh Manshahia, Valeriy Kharchenko, Gerhard-Wilhelm Weber, Pandian Vasant, editors.
001469745 264_1 $$aCham :$$bSpringer,$$c[2023]
001469745 264_4 $$c©2023
001469745 300__ $$a1 online resource (xxii, 285 pages) :$$billustrations (chiefly color).
001469745 336__ $$atext$$btxt$$2rdacontent
001469745 337__ $$acomputer$$bc$$2rdamedia
001469745 338__ $$aonline resource$$bcr$$2rdacarrier
001469745 4901_ $$aEAI/Springer innovations in communication and computing
001469745 500__ $$aIncludes index.
001469745 5050_ $$aIntro -- Foreword -- Preface -- Acknowledgment -- Contents -- About the Editors -- General Approaches to Assessing Electrical Load of Agro-industrial Complex Facilities When Justifying the Parameters of the Photovoltaic Power System -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Construction of Annual and Daily Charts of Electric Loads by the Calculation Method -- 3.2 Construction of Annual and Daily Schedules of Electrical Loads According to the Guidelines
001469745 5058_ $$a3.3 Construction of Annual and Daily Schedules of Electrical Loads by Monitoring the Actual Consumed Electricity -- 3.4 Analysis of Operation Modes of Photovoltaic Modules Considering Load Graph of the Consumer -- 4 Conclusions -- References -- RBFNN for MPPT Controller in Wind Energy Harvesting System -- 1 Introduction -- 2 Wind Energy Harvesting System -- 2.1 Model of Wind Turbine -- 2.2 Modeling of the PMSG -- 3 Proposed Control Strategies -- 3.1 Radial Basis Function (RBF) -- 4 Simulation Results and Discussion -- 5 Conclusion -- References
001469745 5058_ $$aSimulation Optimum Performance All-Wheels Plug-In Hybrid Electric Vehicle -- 1 Introduction -- 2 Plug-In Hybrid Electric Vehicle Components -- 3 Plug-In Hybrid Electric Control Methodology -- 3.1 EV Mode -- 3.2 Series Mode -- 3.3 Parallel Mode -- 3.4 Recuperation Brake Energy Mode -- 3.5 Motor Start/Stop Automatic (MSA) Mode -- 3.6 Freewheeling Mode -- 3.7 Mechanical Braking Mode -- 4 AWD-PHEV Plant Model -- 5 Application -- 5.1 Simulation Results -- 6 Conclusions -- References -- Artificial Intelligence Application to Flexibility Provision in Energy Management System: A Survey -- 1 Introduction
001469745 5058_ $$a2 Conventional Approach to Flexibility Management -- 2.1 Demand-Side (Load) Management -- 2.2 Energy Storage Systems (ESSs) -- 2.3 Electric Vehicles: V2G and G2V Technologies -- 2.4 Grid Reinforcement -- 3 Review of Artificial Intelligence and Its Application to Flexibility Management in Energy System -- 4 Planning Integrated Flexibility Management with Artificial Intelligence -- 5 Conclusions -- References -- Machine Learning Applications for Renewable Energy Systems -- 1 Introduction -- 2 Related Work -- 3 Key Applications -- 3.1 Forecasting -- 3.1.1 Weather Forecasting
001469745 5058_ $$a3.1.2 Wind and Solar Power Production Forecasting -- 3.1.3 Load Forecasting -- 3.2 Integrating AI with Smart Grids -- 3.2.1 Applications of AI in Smart Grids -- 3.3 Condition Monitoring and Fault Prognostics of Renewable Energy Systems -- 3.3.1 Hydropower Projects -- 3.3.2 Wind Power Projects -- 3.3.3 Solar Power Projects -- 4 Resources (ML Algorithms and Datasets) -- 4.1 AI/ML Algorithms -- 4.1.1 Fuzzy Logic -- 4.1.2 Hidden Markov Models (HMMs) -- 4.1.3 Conventional ML Algorithms -- 4.1.4 Artificial Neural Networks (ANNs) -- 4.2 Datasets -- 4.2.1 Forecasting Energy Supply, Demand, and Weather
001469745 506__ $$aAccess limited to authorized users.
001469745 520__ $$aThis book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy. Based on sustainability as a fundamental factor for intelligent computing; Focuses on the role AI plays in smart living, energy transition, and sustainable development; Covers a broad range of green energy-related topics.
001469745 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 26, 2023).
001469745 650_0 $$aRenewable energy sources$$xTechnological innovations.
001469745 650_0 $$aArtificial intelligence$$xEnvironmental aspects.
001469745 655_0 $$aElectronic books.
001469745 7001_ $$aManshahia, Mukhdeep Singh,$$eeditor.
001469745 7001_ $$aKharchenko, Valeriy,$$d1938-$$eeditor.
001469745 7001_ $$aWeber, Gerhard-Wilhelm,$$eeditor.
001469745 7001_ $$aVasant, Pandian,$$eeditor.
001469745 77608 $$iPrint version: $$z3031264959$$z9783031264955$$w(OCoLC)1363101484
001469745 830_0 $$aEAI/Springer innovations in communication and computing.
001469745 852__ $$bebk
001469745 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-26496-2$$zOnline Access$$91397441.1
001469745 909CO $$ooai:library.usi.edu:1469745$$pGLOBAL_SET
001469745 980__ $$aBIB
001469745 980__ $$aEBOOK
001469745 982__ $$aEbook
001469745 983__ $$aOnline
001469745 994__ $$a92$$bISE