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This Special Issue “Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) Technologies” was in session from 1 May 2019 to 31 May 2020. For this Special issue, we invited articles on current state-of-the-art technologies and solutions in G2V and V2G, including but not limited to the operation and control of gridable vehicles, energy storage and management systems, charging infrastructure and chargers, EV demand and load forecasting, V2G interfaces and applications, V2G and energy reliability and security, environmental impacts, and economic benefits as well as demonstration projects and case studies in the aforementioned areas. Articles that deal with the latest hot topics in V2G are of particular interest, such as V2G and demand-side response control technique, smart charging infrastructure and grid planning, advanced power electronics for V2G systems, adaptation of V2G systems in the smart grid, adaptation of smart cities for a large number of EVs, integration, and the optimization of V2G systems, utilities and transportation assets for advanced V2G systems, wireless power transfer systems for advanced V2G systems, fault detection, maintenance and diagnostics in V2G processes, communications protocols for V2G systems, energy management system (EMS) in V2G systems, IoT for V2G systems, distributed energy and storage systems for V2G, transportation networks and V2G, energy management for V2G, smart charging/discharging stations for efficient V2G, environmental and socio-economic benefits and challenges of V2G systems, and building integrated V2G systems (BIV2G). Five manuscripts are published in this Special Issue, including “An Ensemble Stochastic Forecasting Framework for Variable Distributed Demand Loads” by Agyeman et al., “Where Will You Park? Predicting Vehicle Locations for Vehicle-to-Grid, An MPC Scheme with Enhanced Active Voltage Vector Region for V2G Inverter” by Shipman et al., “Electric Vehicles Energy Management with V2G/G2V Multifactor Optimization of Smart Grids” by Xia et al., and “A Review on Communication Standards and Charging Topologies of V2G and V2H Operation Strategies” by Savitti et al.

History of engineering & technology --- vehicle-to-grid (V2G) --- vehicle-to-home (V2H) --- bi-directional charging topologies --- communication standards --- battery cycle --- smart grid --- optimization --- energy management --- electric vehicles --- distributed generation --- MPC --- AV2R --- V2G --- inverter --- vehicle-to-grid --- vehicle location prediction --- automated machine learning --- machine learning --- Bayesian --- deep neural network --- demand load forecast --- distributed load --- ensemble algorithm stochastic --- K-means

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The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

Technology: general issues --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast

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The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast

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The use of renewable energy sources (RESs) is a need of global society. This editorial, and its associated Special Issue “Grid-Connected Renewable Energy Sources”, offers a compilation of some of the recent advances in the analysis of current power systems that are composed after the high penetration of distributed generation (DG) with different RESs. The focus is on both new control configurations and on novel methodologies for the optimal placement and sizing of DG. The eleven accepted papers certainly provide a good contribution to control deployments and methodologies for the allocation and sizing of DG.

Research & information: general --- Technology: general issues --- solar energy --- wind energy --- energy storage --- renewable energy integration --- Europe --- advanced metering infrastructure --- data acquisition --- IEC standards --- low-cost --- open source --- power measurement --- smart meter --- uncertainty evaluation --- frequency stabilization --- coordinated control --- wind turbine generator --- high-fidelity battery model --- releasable and absorbable energy --- photovoltaic emulator --- photovoltaic panel --- single diode model --- MPPT --- FSWT-SCIG --- battery storage system --- power system stability --- synchronous generator --- hybrid system --- voltage source converter --- passivity-based control --- proportional-integral control --- voltage regulation --- bi-directional converter --- LC impedance source converter --- DC–DC power converter --- bi-directional power flow --- alternating current networks --- direct current networks --- optimal power flow --- non-linear optimization --- control of power electronic converters --- distributed generation --- mixed-integer nonlinear programming --- second-cone programming --- discrete-sine cosine algorithm --- metaheuristic optimization --- DG placement --- evolutionary algorithms --- energy management --- fuzzy controller --- power systems analysis --- interconnected power systems --- latencies --- time-delay effects --- wide area monitoring systems --- renewable energy conversion --- power conditioning devices --- renewable energy policies --- power quality --- computations methods --- control strategies --- electric vehicle charging --- energy management systems --- ancillary services --- monitoring --- prognostic and diagnostic

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information theoretic analysis --- multiplexing system --- HSI for biology --- point target detection --- digital elevation model --- neural networks --- oxygen saturation --- black polymers --- PZT --- blood detection --- multivariate analysis --- integral imaging --- hemispherical conical reflectance factor (HCRF) --- sprouting --- fluorescence --- multitemporal hyperspectral images --- plant phenotyping --- hyperspectral data mining and compression --- Raman --- medical imaging by HSI --- compressive detection --- stereo imaging --- image processing --- wound healing --- quality control --- lossless compression --- infrared hyperspectral imaging --- spectral tracking --- time series --- remote sensing --- diabetic foot ulcer --- classification --- Raman spectroscopy --- imaging --- fingerprints --- fusion --- wavelength selection --- Cramer–Rao lower bound --- three-dimensional imaging --- chemical imaging --- CS-MUSI --- total variation --- coastal dynamics --- forward observation model --- hyperspectral imaging --- fluorescence hyperspectral imaging --- age determination --- potatoes --- painting samples --- predictive coding --- hyperspectral --- video --- bi-directional reflectance distribution function (BRDF) --- optimal binary filters --- watercolours --- deep learning --- spectroscopy --- moving vehicle imaging --- sorting --- maximum likelihood --- multivariate data analysis --- interval partial least squares --- disease detection --- Raman hyperspectral imaging --- primordial leaf count --- machine learning --- spatial light modulators (SLM) --- Virginia Coast Reserve Long Term Ecological Research (VCR LTER) --- digital micromirror device (DMD) --- hyperspectral microscopy --- alternating direction method of multipliers --- statistical methods for HSI --- multiband image fusion --- digital light processor (DLP) --- linear mixture model --- retouching pigments --- liquid crystal --- principal component analysis --- Chemometrics --- compressive sensing --- PLSR --- Hyperspectral imaging