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This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on.

History of engineering & technology --- vacuum tank degasser --- rule extraction --- extreme learning machine --- classification and regression trees --- wind power: wind speed: T–S fuzzy model: forecasting --- linearization --- machine learning --- photovoltaic output power forecasting --- hybrid interval forecasting --- relevance vector machine --- sample entropy --- ensemble empirical mode decomposition --- high permeability renewable energy --- blockchain technology --- energy router --- QoS index of energy flow --- MOPSO algorithm --- scheduling optimization --- Adaptive Neuro-Fuzzy Inference System --- insulator fault forecast --- wavelet packets --- time series forecasting --- power quality --- harmonic parameter --- harmonic responsibility --- monitoring data without phase angle --- parameter estimation --- blockchain --- energy internet --- information security --- forecasting --- clustering --- energy systems --- classification --- integrated energy system --- risk assessment --- component accident set --- vulnerability --- hybrid AC/DC power system --- stochastic optimization --- renewable energy source --- Volterra models --- wind turbine --- maintenance --- fatigue --- power control --- offshore wind farm --- Interfacial tension --- transformer oil parameters --- harmonic impedance --- traction network --- harmonic impedance identification --- linear regression model --- data evolution mechanism --- cast-resin transformers --- abnormal defects --- partial discharge --- pattern recognition --- hierarchical clustering --- decision tree --- industrial mathematics --- inverse problems --- intelligent control --- artificial intelligence --- energy management system --- smart microgrid --- optimization --- Volterra equations --- energy storage --- load leveling --- cyber-physical systems --- vacuum tank degasser --- rule extraction --- extreme learning machine --- classification and regression trees --- wind power: wind speed: T–S fuzzy model: forecasting --- linearization --- machine learning --- photovoltaic output power forecasting --- hybrid interval forecasting --- relevance vector machine --- sample entropy --- ensemble empirical mode decomposition --- high permeability renewable energy --- blockchain technology --- energy router --- QoS index of energy flow --- MOPSO algorithm --- scheduling optimization --- Adaptive Neuro-Fuzzy Inference System --- insulator fault forecast --- wavelet packets --- time series forecasting --- power quality --- harmonic parameter --- harmonic responsibility --- monitoring data without phase angle --- parameter estimation --- blockchain --- energy internet --- information security --- forecasting --- clustering --- energy systems --- classification --- integrated energy system --- risk assessment --- component accident set --- vulnerability --- hybrid AC/DC power system --- stochastic optimization --- renewable energy source --- Volterra models --- wind turbine --- maintenance --- fatigue --- power control --- offshore wind farm --- Interfacial tension --- transformer oil parameters --- harmonic impedance --- traction network --- harmonic impedance identification --- linear regression model --- data evolution mechanism --- cast-resin transformers --- abnormal defects --- partial discharge --- pattern recognition --- hierarchical clustering --- decision tree --- industrial mathematics --- inverse problems --- intelligent control --- artificial intelligence --- energy management system --- smart microgrid --- optimization --- Volterra equations --- energy storage --- load leveling --- cyber-physical systems

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on.

History of engineering & technology --- vacuum tank degasser --- rule extraction --- extreme learning machine --- classification and regression trees --- wind power: wind speed: T–S fuzzy model: forecasting --- linearization --- machine learning --- photovoltaic output power forecasting --- hybrid interval forecasting --- relevance vector machine --- sample entropy --- ensemble empirical mode decomposition --- high permeability renewable energy --- blockchain technology --- energy router --- QoS index of energy flow --- MOPSO algorithm --- scheduling optimization --- Adaptive Neuro-Fuzzy Inference System --- insulator fault forecast --- wavelet packets --- time series forecasting --- power quality --- harmonic parameter --- harmonic responsibility --- monitoring data without phase angle --- parameter estimation --- blockchain --- energy internet --- information security --- forecasting --- clustering --- energy systems --- classification --- integrated energy system --- risk assessment --- component accident set --- vulnerability --- hybrid AC/DC power system --- stochastic optimization --- renewable energy source --- Volterra models --- wind turbine --- maintenance --- fatigue --- power control --- offshore wind farm --- Interfacial tension --- transformer oil parameters --- harmonic impedance --- traction network --- harmonic impedance identification --- linear regression model --- data evolution mechanism --- cast-resin transformers --- abnormal defects --- partial discharge --- pattern recognition --- hierarchical clustering --- decision tree --- industrial mathematics --- inverse problems --- intelligent control --- artificial intelligence --- energy management system --- smart microgrid --- optimization --- Volterra equations --- energy storage --- load leveling --- cyber-physical systems

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Sustainable industrial engineering addresses the sustainability issue from economic, environmental, and social points of view. Its application fields are the whole value chain and lifecycle of products/services, from the development to the end-of-life stages. This book aims to address many of the challenges faced by industrial organizations and supply chains to become more sustainable through reinventing their processes and practices, by continuously incorporating sustainability guidelines and practices in their decisions, such as circular economy, collaboration with suppliers and customers, using information technologies and systems, tracking their products’ life-cycle, using optimization methods to reduce resource use, and to apply new management paradigms to help mitigate many of the wastes that exist across organizations and supply chains. This book will be of interest to the fast-growing body of academics studying and researching sustainability, as well as to industry managers involved in sustainability management.

Technology: general issues --- information and communication technologies --- green supply chain --- update and sustainable --- sustainability --- green degree --- game model --- sustainable supplier selection --- DEMATEL --- ANP --- fuzzy VIKOR --- IVTFN --- hybrid information aggregation --- TBL theory --- energy intensity --- income --- education --- eco-efficiency --- circular economy --- equipment development task --- foreseeable rework --- hidden rework --- uncertainty --- complexity --- blockchain --- supply chain --- use cases --- applications --- quality level --- reliability demonstration test --- Bayesian approach --- conjugacy --- beta-binomial distribution --- sequential sampling --- one-shot devices --- finite population --- express delivery service --- last mile delivery --- pricing --- collaboration --- market share --- reverse supply chain --- collection strategy --- waste mobile phones --- evolutionary game theory --- evolution mechanism --- reward-penalty mechanism --- ammunition incineration --- down-cycling --- energetic material recycling --- industrial ecology --- life-cycle assessment --- cap-and-trade --- production --- carbon emissions reduction --- consumers’ environmental preferences --- newsvendor model --- Lean Manufacturing --- Industry 4.0 --- economic --- environmental --- and social --- structure equations modeling --- sustainable global supply chain --- single- and multi-objective optimization method --- sustainability design constraint --- software application --- real case study --- pulp and paper industry --- comparative index --- cross-country analysis --- JIT implementation --- suppliers in JIT --- operational benefits --- human factor in JIT --- material flow --- structural equation model --- carbon credit --- environmental cost accounting --- pyrolysis --- solid waste --- vendor selection --- product life cycle --- multi-objective linear programming --- multi-choice goal programming --- additive manufacturing --- social change --- social impacts --- 3D printing --- rapid prototyping --- recycling investment strategy --- demand uncertainty --- Stochastic nonlinear Programming --- Monte-Carlo based sample average approximation method --- memetic algorithm --- industrial symbiosis --- potential industrial symbiosis --- eco-industrial parks --- sustainable supply chain management --- research methods --- scientific production --- metrics --- indicators

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The Special Issue of Energies on the subject area of “Intelligent Transportation Systems (ITS) for Electric Vehicles (EV)”, covers new work on EV and associated topics like charging process, smart grids, emerging ITS for EV and applications for electromoV market penetration with an increase of 60% per year, associated challenges of the charging process and system and changes in the energy market and grid. EV is associated with sustainability and the EU has committed to reducing CO2 emissions by 37.5 percent by 2030. The charging process and open energy market with renewable energy create interesting research problems where IoT and intelligent systems play an essential role in the flexibility of the EV charging process and the EV operation.bility. Considering EV market penetration with an increase of 60% per year, associated challenges of charging process and system and the change on the Energy market and Grid. EV is associated with sustainability with the commit of EU in, aiming to reduce CO2 emissions by 37.5 percent from 2021 to 2030. Charging process and open energy market with renewable energy creates interesting research problems where IoT and Intelligent System plays an essential role in the flexibility of the EV charging process and the EV operation.

vehicle electrification --- smart grids --- renewable energy sources --- energy storage systems --- power quality --- bidirectional --- power electronics. --- charging behaviors --- distribution locational marginal pricing --- distribution networks --- electric mobility --- electric vehicle --- operation --- reconfiguration --- smart city --- smart grid --- rapid charging --- charging navigation --- internet of things --- electric charging behaviour --- energy prices --- EVs --- travel simulator --- charging station --- prediction --- probability --- mobile App --- EV charging process --- blockchain --- IoT --- mobile app --- particle filter --- histogram of gradient --- sensor fusion --- neural network --- support vector machine --- object recognition --- electric bus --- emissions --- urban transportation --- energy mix --- automatic train operation --- multi-objective optimization --- shark smell optimization algorithm --- composite angle cosine --- dual-population evolution mechanism --- hardware-in-the-loop simulation --- daily activity chains --- electric vehicles --- optimization --- charging stations --- intelligent transportation systems --- ITS --- Dispatching Service --- Dispersed Generation --- Distribution Grid --- Electrical Vehicle --- Optimal Power Flow --- Power Flow --- Power System --- Simulation Models --- shared swap charging system --- operational design --- battery charging rate --- binary integer programming --- silicon carbide --- extreme fast charging --- DC transformer --- V2G --- urban complex --- peak shaving --- Hybrid Electric Vehicles (HEVs) --- energy management strategies (EMSs) --- driving cycle prediction

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Sustainable industrial engineering addresses the sustainability issue from economic, environmental, and social points of view. Its application fields are the whole value chain and lifecycle of products/services, from the development to the end-of-life stages. This book aims to address many of the challenges faced by industrial organizations and supply chains to become more sustainable through reinventing their processes and practices, by continuously incorporating sustainability guidelines and practices in their decisions, such as circular economy, collaboration with suppliers and customers, using information technologies and systems, tracking their products’ life-cycle, using optimization methods to reduce resource use, and to apply new management paradigms to help mitigate many of the wastes that exist across organizations and supply chains. This book will be of interest to the fast-growing body of academics studying and researching sustainability, as well as to industry managers involved in sustainability management.

Technology: general issues --- information and communication technologies --- green supply chain --- update and sustainable --- sustainability --- green degree --- game model --- sustainable supplier selection --- DEMATEL --- ANP --- fuzzy VIKOR --- IVTFN --- hybrid information aggregation --- TBL theory --- energy intensity --- income --- education --- eco-efficiency --- circular economy --- equipment development task --- foreseeable rework --- hidden rework --- uncertainty --- complexity --- blockchain --- supply chain --- use cases --- applications --- quality level --- reliability demonstration test --- Bayesian approach --- conjugacy --- beta-binomial distribution --- sequential sampling --- one-shot devices --- finite population --- express delivery service --- last mile delivery --- pricing --- collaboration --- market share --- reverse supply chain --- collection strategy --- waste mobile phones --- evolutionary game theory --- evolution mechanism --- reward-penalty mechanism --- ammunition incineration --- down-cycling --- energetic material recycling --- industrial ecology --- life-cycle assessment --- cap-and-trade --- production --- carbon emissions reduction --- consumers’ environmental preferences --- newsvendor model --- Lean Manufacturing --- Industry 4.0 --- economic --- environmental --- and social --- structure equations modeling --- sustainable global supply chain --- single- and multi-objective optimization method --- sustainability design constraint --- software application --- real case study --- pulp and paper industry --- comparative index --- cross-country analysis --- JIT implementation --- suppliers in JIT --- operational benefits --- human factor in JIT --- material flow --- structural equation model --- carbon credit --- environmental cost accounting --- pyrolysis --- solid waste --- vendor selection --- product life cycle --- multi-objective linear programming --- multi-choice goal programming --- additive manufacturing --- social change --- social impacts --- 3D printing --- rapid prototyping --- recycling investment strategy --- demand uncertainty --- Stochastic nonlinear Programming --- Monte-Carlo based sample average approximation method --- memetic algorithm --- industrial symbiosis --- potential industrial symbiosis --- eco-industrial parks --- sustainable supply chain management --- research methods --- scientific production --- metrics --- indicators --- information and communication technologies --- green supply chain --- update and sustainable --- sustainability --- green degree --- game model --- sustainable supplier selection --- DEMATEL --- ANP --- fuzzy VIKOR --- IVTFN --- hybrid information aggregation --- TBL theory --- energy intensity --- income --- education --- eco-efficiency --- circular economy --- equipment development task --- foreseeable rework --- hidden rework --- uncertainty --- complexity --- blockchain --- supply chain --- use cases --- applications --- quality level --- reliability demonstration test --- Bayesian approach --- conjugacy --- beta-binomial distribution --- sequential sampling --- one-shot devices --- finite population --- express delivery service --- last mile delivery --- pricing --- collaboration --- market share --- reverse supply chain --- collection strategy --- waste mobile phones --- evolutionary game theory --- evolution mechanism --- reward-penalty mechanism --- ammunition incineration --- down-cycling --- energetic material recycling --- industrial ecology --- life-cycle assessment --- cap-and-trade --- production --- carbon emissions reduction --- consumers’ environmental preferences --- newsvendor model --- Lean Manufacturing --- Industry 4.0 --- economic --- environmental --- and social --- structure equations modeling --- sustainable global supply chain --- single- and multi-objective optimization method --- sustainability design constraint --- software application --- real case study --- pulp and paper industry --- comparative index --- cross-country analysis --- JIT implementation --- suppliers in JIT --- operational benefits --- human factor in JIT --- material flow --- structural equation model --- carbon credit --- environmental cost accounting --- pyrolysis --- solid waste --- vendor selection --- product life cycle --- multi-objective linear programming --- multi-choice goal programming --- additive manufacturing --- social change --- social impacts --- 3D printing --- rapid prototyping --- recycling investment strategy --- demand uncertainty --- Stochastic nonlinear Programming --- Monte-Carlo based sample average approximation method --- memetic algorithm --- industrial symbiosis --- potential industrial symbiosis --- eco-industrial parks --- sustainable supply chain management --- research methods --- scientific production --- metrics --- indicators