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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 --- PHB --- natural fiber --- compatibilizer --- cellulose --- biocomposite --- 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 --- PHB --- natural fiber --- compatibilizer --- cellulose --- biocomposite

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• Reference Manager
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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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Artificial intelligence techniques, such as expert systems, fuzzy logic, and artificial neural network techniques have become efficient tools in modeling and control applications. For example, there are several benefits in optimizing cost-effectiveness, because fuzzy logic is a methodology for the handling of inexact, imprecise, qualitative, fuzzy, and verbal information systematically and rigorously. A neuro-fuzzy controller generates or tunes the rules or membership functions of a fuzzy controller with an artificial neural network approach. There are new instantaneous power theories that may address several challenges in power quality. So, this book presents different applications of artificial intelligence techniques in advanced high-tech electronics, such as applications in power electronics, motor drives, renewable energy systems and smart grids.

droop curve --- frequency regulation --- fuzzy logic --- the rate of change of frequency --- reserve power --- smart grid --- energy Internet --- convolutional neural network --- decision optimization --- deep reinforcement learning --- electric load forecasting --- non-dominated sorting genetic algorithm II --- multi-layer perceptron --- adaptive neuro-fuzzy inference system --- meta-heuristic algorithms --- automatic generation control --- fuzzy neural network control --- thermostatically controlled loads --- back propagation algorithm --- particle swarm optimization --- load disaggregation --- artificial intelligence --- cognitive meters --- machine learning --- state machine --- NILM --- non-technical losses --- semi-supervised learning --- knowledge embed --- deep learning --- distribution network equipment --- condition assessment --- multi information source --- fuzzy iteration --- current balancing algorithm --- level-shifted SPWM --- medium-voltage applications --- multilevel current source inverter --- motor drives --- phase-shifted carrier SPWM --- STATCOM --- electricity forecasting --- CNN–LSTM --- very short-term forecasting (VSTF) --- short-term forecasting (STF) --- medium-term forecasting (MTF) --- long-term forecasting (LTF) --- asynchronous motor --- linear active disturbance rejection control --- error differentiation --- vector control --- renewable energy --- solar power plant --- Data Envelopment Analysis (DEA) --- Fuzzy Analytical Network Process (FANP) --- Fuzzy Theory

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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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This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019.

multi-agent systems --- agent development framework --- semantic web --- online double auction --- agent development methodology --- intelligent agents --- travel behavior --- computational accountability --- coordinated control --- directed graph --- agent methodologies --- surface vehicle --- SEA_ML --- sociogram --- formation tracking --- socio-technical systems --- agreement technologies --- electronic bartering system --- delay --- social commitments --- human-machine interaction --- regression models --- collision avoidance --- electric vehicles --- mechanism design --- model-driven development --- agent technology --- multi agent systems --- computer science --- 3D representation --- multiagent systems --- scaled consensus --- multi-agent simulation --- multiple passive agents --- type-2 fuzzy inference system --- Artificial Intelligence --- bike sharing systems (BSS) --- trajectory mining --- Mobile Robot Navigation --- open data --- RBFNNs --- agent-based programming --- methodologies for agent-based systems --- socio–technical systems --- underactuated vehicle --- BDI agents --- autonomous agents --- Behavior Trees (BTs) --- coordination models --- pedestrian environment --- person tracking --- cognitive disabilities --- coordination --- commuting --- genetic algorithm --- ontology --- Genetic Programming (GP) --- user interaction levels --- intelligent hybrid systems --- complex network --- agent-oriented technologies --- agent-based modeling --- network management --- behavior modeling --- semantic web service --- mobile communication --- smart cities --- mobile device agent --- organizational model --- [-5]agent-based simulation --- agent-based social simulation --- agent-based simulation --- data visualization --- linked data --- ambient intelligence --- orientation --- velocity obstacle --- multi-agent system --- kinodynamic planning --- agent-based modelling --- charging stations --- organizations and institutions --- agent behavior --- tree mining --- agent-oriented software engineering --- carpooling --- perishable goods