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Energy management systems (EMSs) are nowadays considered one of the most relevant technical solutions for enhancing the efficiency, reliability, and economy of smart micro/nanogrids, both in terrestrial and vehicular applications. For this reason, the recent technical literature includes numerous technical contributions on EMSs for residential/commercial/vehicular micro/nanogrids that encompass renewable generators and battery storage systems (BSS) The volume “Energy Management Systems for Optimal Operation of Electrical Micro/Nanogrids”, was released as a Special Issue of the journal Energies, published by MDPI, with the aim of expanding the knowledge on EMSs for the optimal operation of electrical micro/nanogrids by presenting topical and high-quality research papers that address open issues in the identified technical field. The volume is a collection of seven research papers authored by research teams from several countries, where different hot topics are accurately explored. The reader will have the possibility to benefit from original scientific results concerning, in particular, the following key topics: distribution systems; smart home/building; battery energy storage; demand uncertainty; energy forecasting; model predictive control; real-time control, microgrid planning; and electrical vehicles.

Technology: general issues --- distribution systems --- smart home --- battery energy storage --- energy forecasting --- model predictive control --- real-time control --- microgrid --- black-start --- islanding --- master–slave control approach --- cold load pickup --- demand–response --- distributed electronic power converters --- optimal power sharing --- power flow control --- real-time simulations --- energy management system --- forecasting error --- rolling horizon --- demand uncertainty --- microgrids --- battery impedance model --- equivalent circuit model --- fractional-order model --- time- domain implementation --- efficient management --- energy resources --- heuristic approach --- nanogrid --- smart buildings --- micro-grid planning --- electrical vehicles --- energy storage --- flexible programming

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Advanced intelligent (ADI) control through Versatile Intelligent Portable (VIP) Platforms is a rapidly developing, complex, challenging field with great practical importance and potential. ADI control is an interdisciplinary field which combines and extends theories and methods from control theory, computer science, and operations research areas with the aim of developing controllers that are highly adaptable to significant unanticipated changes. Deep research and communicating new trends in the design, control, and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this book. Innovative multi-sensor fusion techniques, integrated through VIP platforms, are developed and combined with computer vision, virtual and augmented reality (VR&AR), and intelligent communication, including remote control, adaptive sensor networks, human–robot (H2R) interaction systems, and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough set-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision-based DSS, and sensory and robotic DSS are highlighted in the field of advanced intelligent control. Approaching new technologies using advanced intelligent control through versatile intelligent portable platforms involves complex multidisciplinary research covering enhanced IoT technologies and applications in the 5G densification era, bio-inspired techniques in future manufacturing enterprise control, cyberphysical systems approach to cognitive enterprise, developing the IT Industry 4.0 concept, industrial systems in the digital age, cloud computing, robotics, and automation with applications such as human aid mechatronics moving in unstructured and uneven environments, rescue robots, firefighting robots, rehabilitation robots, robot-assisted surgery, and domestic robots.

History of engineering & technology --- Passive Brain Signals --- adaptive automation and controller --- EOG artifact --- independent component analysis --- engagement index --- lower limb --- rehabilitation robot --- motion intention acquisition --- static torque sensor --- quadcopter --- drone --- pollutant --- carbon --- air monitoring --- kernel --- cyber-physical systems --- intelligent cyber enterprise --- systems interface --- user experience --- accessibility --- autism spectrum disorder --- game-based learning --- systematic literature review --- exoskeleton hand --- fractional order model --- control --- human–robot interaction --- training task --- multi-sensor system --- quantum particle swarm optimization --- support vector machines --- microinjection sensor --- PDMS capillary --- micro-wire --- picolitre volume measurement --- MPWM microfluidic transport --- β-Ga2O3 --- nanowires --- oxidation --- silver catalyst --- electrical conductivity --- photodetector --- automatic distortion rectification --- wide-angle lens --- fish-eye lens --- advanced driver-assistance system (ADAS) --- video-surveillance --- vision tasks --- connected bike --- smart technologies --- IoT --- personalized training --- embedded --- back-end --- front-end --- Android --- modules --- MQTT --- monitoring --- 3D scanning --- 3D shape reconstruction --- RGB-D sensors --- imperfect data --- hybrid neural networks --- computer vision --- deep learning --- convolutional neural networks --- advanced intelligent control --- facial emotion recognition --- face recognition --- NAO robot --- critical infrastructures --- positioning system --- optical measurements --- fiducial markers --- adaptive kalman --- measurement fusion --- software sensor data --- machine-learning classifier --- smartphone security --- intelligent control --- robot control intelligent sensor systems --- intelligent decision support systems --- versatile intelligent portable platforms --- new technologies --- adaptive sensor networks --- virtual and augmented reality --- intelligent remote control and communication

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Advanced intelligent (ADI) control through Versatile Intelligent Portable (VIP) Platforms is a rapidly developing, complex, challenging field with great practical importance and potential. ADI control is an interdisciplinary field which combines and extends theories and methods from control theory, computer science, and operations research areas with the aim of developing controllers that are highly adaptable to significant unanticipated changes. Deep research and communicating new trends in the design, control, and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this book. Innovative multi-sensor fusion techniques, integrated through VIP platforms, are developed and combined with computer vision, virtual and augmented reality (VR&AR), and intelligent communication, including remote control, adaptive sensor networks, human–robot (H2R) interaction systems, and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough set-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision-based DSS, and sensory and robotic DSS are highlighted in the field of advanced intelligent control. Approaching new technologies using advanced intelligent control through versatile intelligent portable platforms involves complex multidisciplinary research covering enhanced IoT technologies and applications in the 5G densification era, bio-inspired techniques in future manufacturing enterprise control, cyberphysical systems approach to cognitive enterprise, developing the IT Industry 4.0 concept, industrial systems in the digital age, cloud computing, robotics, and automation with applications such as human aid mechatronics moving in unstructured and uneven environments, rescue robots, firefighting robots, rehabilitation robots, robot-assisted surgery, and domestic robots.

Passive Brain Signals --- adaptive automation and controller --- EOG artifact --- independent component analysis --- engagement index --- lower limb --- rehabilitation robot --- motion intention acquisition --- static torque sensor --- quadcopter --- drone --- pollutant --- carbon --- air monitoring --- kernel --- cyber-physical systems --- intelligent cyber enterprise --- systems interface --- user experience --- accessibility --- autism spectrum disorder --- game-based learning --- systematic literature review --- exoskeleton hand --- fractional order model --- control --- human–robot interaction --- training task --- multi-sensor system --- quantum particle swarm optimization --- support vector machines --- microinjection sensor --- PDMS capillary --- micro-wire --- picolitre volume measurement --- MPWM microfluidic transport --- β-Ga2O3 --- nanowires --- oxidation --- silver catalyst --- electrical conductivity --- photodetector --- automatic distortion rectification --- wide-angle lens --- fish-eye lens --- advanced driver-assistance system (ADAS) --- video-surveillance --- vision tasks --- connected bike --- smart technologies --- IoT --- personalized training --- embedded --- back-end --- front-end --- Android --- modules --- MQTT --- monitoring --- 3D scanning --- 3D shape reconstruction --- RGB-D sensors --- imperfect data --- hybrid neural networks --- computer vision --- deep learning --- convolutional neural networks --- advanced intelligent control --- facial emotion recognition --- face recognition --- NAO robot --- critical infrastructures --- positioning system --- optical measurements --- fiducial markers --- adaptive kalman --- measurement fusion --- software sensor data --- machine-learning classifier --- smartphone security --- intelligent control --- robot control intelligent sensor systems --- intelligent decision support systems --- versatile intelligent portable platforms --- new technologies --- adaptive sensor networks --- virtual and augmented reality --- intelligent remote control and communication

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In recent years, various families of fractional-order integral and derivative operators, such as those named after Riemann-Liouville, Weyl, Hadamard, Grunwald-Letnikov, Riesz, Erdelyi-Kober, Liouville-Caputo, and so on, have been found to be remarkably important and fruitful, due mainly to their demonstrated applications in numerous seemingly diverse and widespread areas of the mathematical, physical, chemical, engineering, and statistical sciences. Many of these fractional-order operators provide interesting, potentially useful tools for solving ordinary and partial differential equations, as well as integral, differintegral, and integro-differential equations; fractional-calculus analogues and extensions of each of these equations; and various other problems involving special functions of mathematical physics and applied mathematics, as well as their extensions and generalizations in one or more variables. For this Special Issue, we invite and welcome review, expository, and original research articles dealing with the recent advances in the theory of fractional-order integral and derivative operators and their multidisciplinary applications.

Research & information: general --- Mathematics & science --- Legendre wavelet --- operational matrix --- systems of fractional order differential equations --- Liouville_Caputo sense --- analytic functions --- starlike functions --- univalent functions --- length problems --- SIR model --- Hermite collocation method --- approximate solution --- Hermite polynomials and series --- collocation points --- starlike and q-starlike functions --- q-derivative operator --- q-hypergeometric functions --- conic and generalized conic domains --- Hankel determinant --- Toeplitz matrices --- fractional differential equations --- Riemann-stieltjes integral --- monotone iterative method --- upper and lower solutions --- fractional diffusion equation --- controllability --- impulsive system --- unique continuation property --- non-linear fractional variational problems --- orthogonal polynomials --- Rayleigh-Ritz method --- error analysis --- convergence analysis --- Banach space --- Sobolev space --- Laplace operators --- nonlocal boundary conditions --- fractional differential systems --- mixed Riemann–Liouville integral --- mixed Hadamard integral --- Hilfer derivative --- Hadamard derivative --- coupled system --- random solution --- variable order fractional derivative --- initial value problem --- piecewise constant functions --- starlike function --- Toeplitz determinant --- sine function --- upper bound --- convex functions --- subordination --- logarithmic coefficients --- Gauss hypergeometric function --- confluent hypergeometric function --- Appell’s functions --- incomplete fractional calculus --- Riemann-Liouville fractional integral --- generating functions --- fractional integrals --- fractional derivatives --- Mittag–Leffler functions --- field spectrum --- fractional calculus --- desert soil --- available potassium --- correlation analysis --- Post-Exposure Prophylaxis --- latent reservoir --- HIV infection --- fractional order model --- multivalent functions --- close-to-convex functions --- uniformly starlike functions --- uniformly close-to-convex functions --- conic domains --- q-calculus --- differential subordination --- Janowski function --- cardioid domain --- limacon domain --- fractional order unknown input fuzzy observer --- fractional order Takagi–Sugeno models --- L2 optimization --- linear matrix inequalities --- unmeasurable premise variables --- global solutions --- fractional in time and space shallow-water system --- ψ-Caputo fractional derivative --- Hilfer fractional derivative --- Ulam stability --- pantograph differential equation --- nonlocal integral condition --- Miura transform --- soliton equations --- logarithm --- n/a --- mixed Riemann-Liouville integral --- Appell's functions --- Mittag-Leffler functions --- fractional order Takagi-Sugeno models

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Transportation systems play a major role in the reduction of energy consumptions and environmental impact all over the world. The significant amount of energy of transport systems forces the adoption of new solutions to ensure their performance with energy-saving and reduced environmental impact. In this context, technologies and materials, devices and systems, design methods, and management techniques, related to the electrical power systems for transportation are continuously improving thanks to research activities. The main common challenge in all the applications concerns the adoption of innovative solutions that can improve existing transportation systems in terms of efficiency and sustainability.

Technology: general issues --- electric bus --- vehicle selection --- road operation test --- sustainable development --- more electric aircraft (MEA) --- multilevel converter --- high power density --- electric vehicles (EVs) --- independent-drive technology --- deep reinforcement learning (DRL) --- optimal torque distribution --- wireless power transfer --- non-linear --- fast terminal sliding mode control --- power converters --- efficiency --- energy storage systems --- electrical power systems --- hydraulic power systems --- hydraulic accumulator --- ultracapacitor --- lithium-ion battery --- dual-polarization model --- fractional-order model --- SOC estimation --- hybrid Kalman filter --- vehicle–grid integration --- distribution network voltage regulation --- alternating direction method of multipliers --- railway transport --- eco-driving --- energy efficiency --- optimization algorithm --- power systems --- ancillary services --- EV motor inverter --- electrical installation --- on-board charger --- vehicle-to-home --- home energy management system --- hybrid electric bulldozer --- tracked vehicle --- control strategy --- adaptive control --- power smoothing --- electric vehicles --- public charging station --- bilevel model --- range constraint --- hybrid electric vehicles --- equivalent consumption minimization strategy --- power-split hybrid --- heavy-duty vehicles --- diesel engine --- natural gas engine --- hybrid powertrain --- supercapacitor --- fuel consumption --- mathematical modeling --- electric vehicle --- city bus --- gearbox --- transmission --- optimization --- hybrid electric vehicle --- power-split --- fuel economy --- particle swarm optimization --- route guidance strategies --- stochastic charging demands --- time-varying road network --- shift-by-wire (SBW) --- switched reluctance motor (SRM) --- non-uniform air-gap --- rotor hole placement --- torque ripple --- rotor structure --- electrical transport --- electrical vehicle --- marine transport --- railway --- battery electric vehicles --- signalized intersections --- energy-optimized vehicle trajectories --- vehicle dynamics model --- road freight transport --- vehicle stock turnover model --- deep decarbonization --- road freight vehicle --- electric-drive vehicle --- lithium-ion --- dQ/dV --- dV/dQ --- frequency regulation --- V2G --- G2V --- fault diagnosis --- PEM fuel cell system --- PFCM-ABC-SVM --- ultra-fast charging --- multimodule DC-DC converters --- dual active bridge DC-DC converter --- full-bridge phase-shift DC-DC converter --- input-series output-series --- input-series output-parallel --- input-parallel output-parallel --- input-parallel output-series --- input-series input-parallel output-series output-parallel --- battery aging --- plug-in electric vehicles --- energy management --- global optimization --- state of health --- particle swarm algorithm --- genetic algorithm --- simulation --- plug-in hybrid --- microgrid --- photovoltaic --- robust optimization --- stochastic optimization --- battery management systems --- battery fuel gauge --- state of charge --- power fade --- capacity fade --- robust estimation --- predictive control --- environmental impacts --- life cycle assessment --- review --- anti-lock braking system --- fuzzy logic system --- controller --- vehicle --- traffic signal control --- cost model --- total cost of ownership --- TCO --- charging strategy --- public transport --- sustainability --- reused battery --- adaptive control theory --- battery management system (BMS) --- internal resistances --- open-circuit voltage --- policy incentive --- public charging infrastructure --- power grid --- grid-side effects --- photovoltaic potentials --- controlled charging --- electric power systems --- transportation --- PV --- inverter