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The Special Issue on Advances in Water Distribution Networks (WDNs) explores four important topics of research in the framework of WDNs, namely simulation and optimization modelling, topology and partitioning, water quality, and service effectiveness. With regard to the first topic, the following aspects are addressed: pressure-driven formulations, algorithms for the optimal location of control valves to minimize leakage, the benefits of water discharge prediction for the remote real time control of valves, and transients generated by pumps operating as turbines. In the context of the second topic, a topological taxonomy of WDNs is presented, and partitioning methods for the creation of district metered areas are compared. In relation to the third topic, the vulnerability to trihalomethane is assessed, and a statistical optimization model to minimize heavy metal releases is presented. Finally, the fourth topic focusses on the estimation of non-revenue water, including leakage and unauthorized consumption, and on the assessment of service under intermittent supply conditions.

water distribution system --- artificial neural network --- 24 --- non-revenue water --- runaway conditions --- water quality (WQ) --- release of heavy metals (HMR) --- water service quality --- district metered areas --- modularity --- water distribution network --- optimization --- multiple source waters blending optimization (MSWBO) --- disinfection by-products --- multiple regression analysis --- snapshot simulation --- blending --- pump --- graph partitioning --- dual response surface optimization (DRSO) --- pressure-driven --- topological analysis --- pressure --- unsteady flow --- vulnerability --- water quality --- water distribution modelling --- real time control --- mathematical model --- water distribution network management --- energy recovery systems --- valve --- water hammer --- intermittent water supply --- leakage --- complex network theory

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Energy storage systems have been recognized as viable solutions for implementing the smart grid paradigm, but have created challenges in terms of load levelling, integrating renewable and intermittent sources, voltage and frequency regulation, grid resiliency, improving power quality and reliability, reducing energy import during peak demand periods, and so on. In particular, distributed energy storage addresses a wide range of the above potential issues, and it is gaining attention from customers, utilities, and regulators. Distributed energy storage has considerable potential for reducing costs and improving the quality of electric services. However, installation costs and lifespan are the main drawbacks to the wide diffusion of this technology. In this context, a serious challenge is the adoption of new techniques and strategies for the optimal planning, control, and management of grids that include distributed energy storage devices. Regulatory guidance and proactive policies are urgently needed to ensure a smooth rollout of this technology. This book collects recent contributions of methodologies applied to the integration of distributed energy storage devices in smart power systems. Several areas of research (optimal siting and sizing of energy storage systems, adaption of energy storage systems to load leveling and harmonic compensation, integration for electric vehicles, and optimal control systems) are investigated in the contributions collected in this book.

decision theory --- voltage dips --- robust optimization --- Multiport Converter (MPC) --- storage --- uncertainty --- harmonics --- battery energy storage systems (BESS) --- second life batteries --- optimization --- stationary storage --- charging station --- scheduling --- Energy Storage Device (ESD) --- Grid Connected Photovoltaic Systems (GCPVS) --- plug-in --- electricity market --- economic analysis --- batteries --- distribution system --- distribution network planning --- Electric Vehicle (EV) --- active harmonic filter --- Intelligent Energy Management System (iEMS) --- battery electric vehicle --- fast charge --- microgrid planning --- EV --- planning --- BEV --- energy storage system --- decision-making --- power quality --- electrical energy storage systems --- load leveling

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The Special Issue "Computational Intelligence Application in Electrical Engineering" deals with the application of computational intelligence techniques in various areas of electrical engineering. The topics of computational intelligence applications in smart power grid optimization, power distribution system protection, and electrical machine design and control optimization are presented in the Special Issue. The co-simulation approach to metaheuristic optimization methods and simulation tools for a power system analysis are also presented. The main computational intelligence techniques, evolutionary optimization, fuzzy inference system, and an artificial neural network are used in the research presented in the Special Issue. The articles published in this issue present the recent trends in computational intelligence applications in the areas of electrical engineering.

active distribution network --- computational intelligence --- optimization algorithms --- optimal distribution system management --- optimal Smart Grid management --- advanced distribution system optimization --- renewable distributed generation --- Smart Grid optimization --- co-simulation --- computational intelligence techniques --- distributed generation --- optimal allocation and control --- power system protection --- overcurrent relays --- protection relays --- metaheuristic --- school-based optimizer --- electric markets --- photovoltaic generation --- Monte Carlo simulations --- power flow --- S-iteration process --- Newton–Raphson --- high order newton-like method --- computational efficiency --- line-start synchronous motor --- efficiency factor --- power factor --- optometric analysis --- transient models --- induction machine --- ant colony optimization --- predictive current control --- fuzzy logic control --- Takagi–Sugeno --- n/a --- Newton-Raphson --- Takagi-Sugeno

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This book presents the paper form of the Special Issue (SI) on Smart Urban Water Networks. The number and topics of the papers in the SI confirm the growing interest of operators and researchers for the new paradigm of smart networks, as part of the more general smart city. The SI showed that digital information and communication technology (ICT), with the implementation of smart meters and other digital devices, can significantly improve the modelling and the management of urban water networks, contributing to a radical transformation of the traditional paradigm of water utilities. The paper collection in this SI includes different crucial topics such as the reliability, resilience, and performance of water networks, innovative demand management, and the novel challenge of real-time control and operation, along with their implications for cyber-security. The SI collected fourteen papers that provide a wide perspective of solutions, trends, and challenges in the contest of smart urban water networks. Some solutions have already been implemented in pilot sites (i.e., for water network partitioning, cyber-security, and water demand disaggregation and forecasting), while further investigations are required for other methods, e.g., the data-driven approaches for real time control. In all cases, a new deal between academia, industry, and governments must be embraced to start the new era of smart urban water systems.

hydraulic modelling --- pressure control valve --- pressure management --- remote real-time control --- stochastic consumption --- water distribution system --- fault identification --- hydraulic transient --- inverse transient analysis (ITA) --- water distribution network --- optimization approach --- water distribution monitoring --- optimal sensor placement --- water network partitioning --- topological centrality --- smart water system --- framework --- smartness --- cyber wellness --- leakage --- sensitivity --- uncertainty --- entropy --- multi-criteria decision-making --- DEMATEL --- clustering --- district metered area --- network sectorization --- smart city --- water quality monitoring --- Internet of Things --- wireless sensor networks --- water treatment plant --- data analytics --- nitrate --- nitrite --- water demand forecasting --- hybrid model --- error correction --- chaotic time series --- least square support vector machine --- cross-correlation --- data spatial aggregation --- finite population effect --- metering --- sample mean --- sampling design --- standard error --- stochastic analysis --- water demand peak factor --- water distribution networks --- comparative analysis --- hydraulic measure --- multi-criteria decision analysis (MCDA) --- reliability index --- water distribution network (WDN) --- smart stormwater --- machine learning --- cluster analysis --- data science --- flooding detection --- rainwater harvesting --- water trading --- dual reticulation --- decentralized water supply --- agent-based modeling --- urban water management --- urban water consumption --- water demand data --- water data accessibility --- data resolution --- smart meter --- smart water systems --- cyber–physical security --- cyber-security --- cyber–physical attacks --- n/a --- water distribution systems --- cyber-attack detection --- blind sources separation --- FastICA --- cyber-physical security --- cyber-physical attacks

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This Special Issue “Power System Simulation, Control and Optimization” offers valuable insights into the most recent research developments in these topics. The analysis, operation, and control of power systems are increasingly complex tasks that require advanced simulation models to analyze and control the effects of transformations concerning electricity grids today: Massive integration of renewable energies, progressive implementation of electric vehicles, development of intelligent networks, and progressive evolution of the applications of artificial intelligence.

subhourly modeling --- stochastic unit commitment --- cosimulation method --- sensitivity analysis --- power system dynamic performance --- cooling system --- dynamic programming --- metal-air battery --- receding horizon control --- state variables --- uninterruptible power supply --- power flow computation --- high performance computing (HPC) --- parallelism --- parallel computation --- LU decomposition --- security-constrained optimal power flow --- chance-constrained optimization --- probability of contingency --- renewable energy source --- flexible AC transmission systems --- tabu search --- multi-objective --- power systems --- impartial and open dispatching --- economy --- Gini coefficient --- generation scheduling --- mixed integer quadratic programming --- flexible loads --- market clearing --- safety checking --- interior point method --- electric safety --- induction motor --- fan --- overcurrent protection --- aggregation --- ancillary services --- distributed energy resources --- optimization --- power system operation --- automatic generation control (AGC) --- frequency control --- dynamic deadband --- energy management system (EMS) --- governor response --- voltage collapse --- voltage control --- transformer controller --- adaptive algorithm --- voltage regulation --- distribution system --- power distribution network --- distributed generation --- OLTC --- solar radiation modeling --- GIS --- interpolation --- digital elevation model --- data mining --- ANFIS --- multistrand cable lines --- ampacity --- skin and proximity effects --- symmetry