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Amidst impending climate change and enhanced pollution levels around the globe, the need of the hour is to develop bio-based materials that are sustainable and possess comparable performance properties to their synthetic counterparts. In light of the aforementioned, numerous investigations are being conducted to identify, process, and create materials that are concurrently innocuous towards the environment and have superior properties. This book is a collection of such scientific articles that propagate novel ideas for the development of polymeric composite materials, which have application potential in numerous fields such as medicine, automobile, aviation, construction, etc. It also contains a pedagogical article that proposes some strategies to continue experimental research during pandemics. This book will provide readers a quick glance into recent developments regarding polymeric materials and will encourage them to propagate these research ideas further.

History of engineering & technology --- solid urban waste --- formaldehyde --- durability --- electrical properties --- mechanical properties --- recycling --- epoxy resin --- flammability --- heat release rate --- microscale combustion calorimetry --- multiple linear regression --- adaptive neuro-fuzzy inference system --- polyvinyl alcohol (PVA) --- bionanocomposites --- nanomechanical behaviour --- thin films --- particle size --- model free --- model fitting --- avrami–eroféev --- DAEM --- superhydrophobic surfaces --- self-healing --- natural hierarchical microstructures --- wood --- bio-composite --- linear low density polyethylene --- performance --- straws --- biocomposites --- nanofibers --- electrospinning --- cell culture --- graphene oxide --- barrier properties --- poly(lactic acid) --- clay --- nanocomposite --- permeability --- bacterial cellulose --- metal organic framework --- adsorption --- chitosan --- composite nanofibers --- silk fibroin --- polycaprolactone --- Taguchi --- rheological properties --- DMA --- injection molding --- thermal properties --- natural fibers --- biochar --- carbon fillers --- nanocomposites --- flame retardants --- fire --- n/a --- PHB --- natural fiber --- compatibilizer --- cellulose --- biocomposite --- avrami-eroféev

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Amidst impending climate change and enhanced pollution levels around the globe, the need of the hour is to develop bio-based materials that are sustainable and possess comparable performance properties to their synthetic counterparts. In light of the aforementioned, numerous investigations are being conducted to identify, process, and create materials that are concurrently innocuous towards the environment and have superior properties. This book is a collection of such scientific articles that propagate novel ideas for the development of polymeric composite materials, which have application potential in numerous fields such as medicine, automobile, aviation, construction, etc. It also contains a pedagogical article that proposes some strategies to continue experimental research during pandemics. This book will provide readers a quick glance into recent developments regarding polymeric materials and will encourage them to propagate these research ideas further.

solid urban waste --- formaldehyde --- durability --- electrical properties --- mechanical properties --- recycling --- epoxy resin --- flammability --- heat release rate --- microscale combustion calorimetry --- multiple linear regression --- adaptive neuro-fuzzy inference system --- polyvinyl alcohol (PVA) --- bionanocomposites --- nanomechanical behaviour --- thin films --- particle size --- model free --- model fitting --- avrami–eroféev --- DAEM --- superhydrophobic surfaces --- self-healing --- natural hierarchical microstructures --- wood --- bio-composite --- linear low density polyethylene --- performance --- straws --- biocomposites --- nanofibers --- electrospinning --- cell culture --- graphene oxide --- barrier properties --- poly(lactic acid) --- clay --- nanocomposite --- permeability --- bacterial cellulose --- metal organic framework --- adsorption --- chitosan --- composite nanofibers --- silk fibroin --- polycaprolactone --- Taguchi --- rheological properties --- DMA --- injection molding --- thermal properties --- natural fibers --- biochar --- carbon fillers --- nanocomposites --- flame retardants --- fire --- n/a --- PHB --- natural fiber --- compatibilizer --- cellulose --- biocomposite --- avrami-eroféev

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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

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This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

natural hazards & --- artificial neural network --- flood routing --- the Three Gorges Dam --- backtracking search optimization algorithm (BSA) --- lag analysis --- artificial intelligence --- classification and regression trees (CART) --- decision tree --- real-time --- optimization --- ensemble empirical mode decomposition (EEMD) --- improved bat algorithm --- convolutional neural networks --- ANFIS --- method of tracking energy differences (MTED) --- adaptive neuro-fuzzy inference system (ANFIS) --- recurrent nonlinear autoregressive with exogenous inputs (RNARX) --- disasters --- flood prediction --- ANN-based models --- flood inundation map --- ensemble machine learning --- flood forecast --- sensitivity --- hydrologic models --- phase space reconstruction --- water level forecast --- data forward prediction --- early flood warning systems --- bees algorithm --- random forest --- uncertainty --- soft computing --- data science --- hydrometeorology --- LSTM --- rating curve method --- forecasting --- superpixel --- particle swarm optimization --- high-resolution remote-sensing images --- machine learning --- support vector machine --- Lower Yellow River --- extreme event management --- runoff series --- empirical wavelet transform --- Muskingum model --- hydrograph predictions --- bat algorithm --- data scarce basins --- Wilson flood --- self-organizing map --- big data --- extreme learning machine (ELM) --- hydroinformatics --- nonlinear Muskingum model --- invasive weed optimization --- rainfall–runoff --- flood forecasting --- artificial neural networks --- flash-flood --- streamflow predictions --- precipitation-runoff --- the upper Yangtze River --- survey --- parameters --- Haraz watershed --- ANN --- time series prediction --- postprocessing --- flood susceptibility modeling --- rainfall-runoff --- deep learning --- database --- LSTM network --- ensemble technique --- hybrid neural network --- self-organizing map (SOM) --- data assimilation --- particle filter algorithm --- monthly streamflow forecasting --- Dongting Lake --- machine learning methods --- micro-model --- stopping criteria --- Google Maps --- cultural algorithm --- wolf pack algorithm --- flood events --- urban water bodies --- Karahan flood --- St. Venant equations --- hybrid & --- hydrologic model

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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