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Microgrids are a growing segment of the energy industry, representing a paradigm shift from centralized structures toward more localized, autonomous, dynamic, and bi-directional energy networks, especially in cities and communities. The ability to isolate from the larger grid makes microgrids resilient, while their capability of forming scalable energy clusters permits the delivery of services that make the grid more sustainable and competitive. Through an optimal design and management process, microgrids could also provide efficient, low-cost, clean energy and help to improve the operation and stability of regional energy systems. This book covers these promising and dynamic areas of research and development and gathers contributions on different aspects of microgrids in an aim to impart higher degrees of sustainability and resilience to energy systems.

Technology: general issues --- microgrid --- distribution network operator --- double externalities --- subsidy --- PV system --- PI controller --- fuzzy control --- MPPT --- tracking speed --- error --- Micro Grid --- VSG --- power sharing --- inertia support --- energy support --- small signal stability --- day-ahead operational scheduling --- reconfigurable microgrid --- DRNN Bi-LSTM --- aggregated load forecasting --- bulk photovoltaic power generation forecasting --- solar potential assessment --- resource mapping --- geographic information systems (GIS) --- site selection --- Iran --- earthquake --- power distribution network --- resilience improvement planning --- water distribution network --- load disaggregation --- non-intrusive load monitoring (NILM) --- dimensionality reduction --- principal component analysis (PCA) --- smart home --- solar renewable --- thermal load --- stochastic operation --- energy storage --- sustainability --- desalination --- renewable energy --- water–energy-nexus --- photovoltaic grid-connected system --- power fluctuation --- DC bus voltage stabilization --- prescribed performance --- command-filtered adaptive backstepping control --- centralized control architecture --- DC microgrid --- distributed control architecture --- electricity price constraint --- hybrid control architecture --- power flow control strategy --- data pre-processing --- electricity theft --- imbalance data --- parameter tuning --- smart grid

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Microgrids are a growing segment of the energy industry, representing a paradigm shift from centralized structures toward more localized, autonomous, dynamic, and bi-directional energy networks, especially in cities and communities. The ability to isolate from the larger grid makes microgrids resilient, while their capability of forming scalable energy clusters permits the delivery of services that make the grid more sustainable and competitive. Through an optimal design and management process, microgrids could also provide efficient, low-cost, clean energy and help to improve the operation and stability of regional energy systems. This book covers these promising and dynamic areas of research and development and gathers contributions on different aspects of microgrids in an aim to impart higher degrees of sustainability and resilience to energy systems.

Technology: general issues --- microgrid --- distribution network operator --- double externalities --- subsidy --- PV system --- PI controller --- fuzzy control --- MPPT --- tracking speed --- error --- Micro Grid --- VSG --- power sharing --- inertia support --- energy support --- small signal stability --- day-ahead operational scheduling --- reconfigurable microgrid --- DRNN Bi-LSTM --- aggregated load forecasting --- bulk photovoltaic power generation forecasting --- solar potential assessment --- resource mapping --- geographic information systems (GIS) --- site selection --- Iran --- earthquake --- power distribution network --- resilience improvement planning --- water distribution network --- load disaggregation --- non-intrusive load monitoring (NILM) --- dimensionality reduction --- principal component analysis (PCA) --- smart home --- solar renewable --- thermal load --- stochastic operation --- energy storage --- sustainability --- desalination --- renewable energy --- water–energy-nexus --- photovoltaic grid-connected system --- power fluctuation --- DC bus voltage stabilization --- prescribed performance --- command-filtered adaptive backstepping control --- centralized control architecture --- DC microgrid --- distributed control architecture --- electricity price constraint --- hybrid control architecture --- power flow control strategy --- data pre-processing --- electricity theft --- imbalance data --- parameter tuning --- smart grid

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Effective smart grid operation requires rapid decisions in a data-rich, but information-limited, environment. In this context, grid sensor data-streaming cannot provide the system operators with the necessary information to act on in the time frames necessary to minimize the impact of the disturbances. Even if there are fast models that can convert the data into information, the smart grid operator must deal with the challenge of not having a full understanding of the context of the information, and, therefore, the information content cannot be used with any high degree of confidence. To address this issue, data mining has been recognized as the most promising enabling technology for improving decision-making processes, providing the right information at the right moment to the right decision-maker. This Special Issue is focused on emerging methodologies for data mining in smart grids. In this area, it addresses many relevant topics, ranging from methods for uncertainty management, to advanced dispatching. This Special Issue not only focuses on methodological breakthroughs and roadmaps in implementing the methodology, but also presents the much-needed sharing of the best practices. Topics include, but are not limited to, the following:  Fuzziness in smart grids computing  Emerging techniques for renewable energy forecasting  Robust and proactive solution of optimal smart grids operation  Fuzzy-based smart grids monitoring and control frameworks  Granular computing for uncertainty management in smart grids  Self-organizing and decentralized paradigms for information processing

voltage regulation --- smart grid --- decentralized control architecture --- multi-agent systems --- t-SNE algorithm --- numerical weather prediction --- data preprocessing --- data visualization --- wind power generation --- partial discharge --- gas insulated switchgear --- case-based reasoning --- data matching --- variational autoencoder --- DSHW --- TBATS --- NN-AR --- time-series clustering --- decentral smart grid control (DSGC) --- interpretable and accurate DSGC-stability prediction --- data mining --- computational intelligence --- fuzzy rule-based classifiers --- multi-objective evolutionary optimization --- power systems resilience --- dynamic Bayesian network --- Markov model --- probabilistic modeling --- resilience models

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The purpose of this Special Issue is to investigate topics related to sustainability issues in the new era, especially in Industry 4.0 or other new manufacturing environments. Under Industry 4.0, there have been great changes with respect to production processes, production planning and control, quality assurance, internal control, cost determination, and other management issues. Moreover, it is expected that Industry 4.0 can create positive sustainability impacts along the whole value chain. There are three pillars of sustainability, including environmental sustainability, economic sustainability, and social sustainability. This Special Issue collects 15 sustainability-related papers from various industries that use various methods or models, such as mathematical programming, activity-based costing (ABC), material flow cost accounting, fuel consumption model, artificial intelligence (AI)-based fusion model, multi-attribute decision model (MADM), and so on. These papers are related to carbon emissions, carbon tax, Industry 4.0, economic sustainability, corporate social responsibility (CSR), etc. The research objects come from China, Taiwan, Thailand, Oman, Cyprus, Germany, Austria, and Portugal. Although the research presented in this Special Issue is not exhaustive, this Special Issue provides abundant, significant research related to environmental, economic, and social sustainability. Nevertheless, there still are many research topics that require our attention to solve problems of sustainability.

carbon reduction --- PID controller --- n/a --- time study --- VIKOR --- life cycle cost analysis (LCCA) --- Activity-Based Costing (ABC) --- LS-ARIMAXi-ECM model --- DANP (DEMATEL based ANP) --- multi-attribute decision model (MADM) --- artificial intelligence --- white noise --- OECD --- integrated mathematical programming --- Activity-Based Standard Costing (ABSC) --- qualitative-empirical study --- energy efficiency --- multi-attribute value theory (MAVT) --- e-commerce platform --- decision making trial and evaluation laboratory (DEMATEL) --- colored noise --- carbon tax policy --- material flow cost accounting --- Manufacturing Execution System (MES) --- cap & trade --- manufacturing sustainability --- sustainability --- OEE --- mathematical programming --- aluminum-alloy wheel industry --- sustainable development --- return policy --- small and medium enterprises --- decision making --- Enterprise Resource Planning (ERP) --- tire industry --- footwear industry --- carbon tax --- electrical appliances --- niche inheritance --- carbon emission --- social sustainability --- material handling systems --- small and medium-sized enterprises --- product-mix decision --- internal control --- economic growth --- active suspension --- Industry 4.0 --- corporate social responsibility --- greenhouse gas --- carbon emissions --- succession plan --- digital transformation --- corporate social responsibility (CSR) --- fuel consumption --- agent-based control architecture --- sustainability performance --- activity-based costing (ABC) --- corporate characteristics --- firm value --- industry 4.0 --- digital platforms --- ISO14051 --- theory of constraints (TOC) --- long- and short-term --- NSGAII --- CO2 emissions --- family capital --- green production --- industrial internet of things --- multi-objective optimization --- family business --- exogenous variables

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In modern times, mechatronic and robotic systems are developing at a faster pace than in the past, and research on novel solutions and applications of such devices are studied in both industrial and academic environments. The second volume of this Special Issue of Applied Sciences aims to disseminate the latest research achievements, ideas, and applications of the modeling and control of mechatronic and robotic systems, with particular emphasis on novel trends and challenges. We invited contributions to this Special Issue on topics including (but not limited to): modeling and control, path and trajectory planning, optimization problems, collaborative robotics, mechatronics, flexible multi-body systems, mobile robotics, and manufacturing applications.

wobble motor --- permeance --- magnetic circuit --- leakage flux --- electropermanent magnet --- force model --- inverse kinematics --- genetic algorithm --- workspace analysis --- multi-fingered anthropomorphic hand --- amphibious robot --- spherical robot --- assistant fin --- buoyancy --- hydrodynamic force --- robot --- crawler --- traction --- kinematics --- EOD Robot --- terrorist attacks --- hybrid control --- state machine --- Festo --- PLC --- friction force --- trout --- fish processing machine --- simulation --- vision based system --- humanoid robots --- robot design --- legged robots --- dynamic model --- harsh environment --- kinematic model --- mecanum wheel --- omnidirectional robot --- robotic platform --- surveillance --- flow-rate estimation --- automatic pouring machine --- extended Kalman filter --- mechatronics --- hysteresis --- advance trajectory control --- piezoelectric --- actuator --- neural networks --- robust control --- MPC --- foot location --- motion planning --- gait transitioning --- deep deterministic policy gradients --- snake manipulator --- data-driven --- accuracy --- 6DoF motion platform --- monitoring system --- crank arm mechanisms --- cable-driven parallel robots --- overconstrained robots --- design --- non-contact operations --- behavior-based --- climber robot --- control --- control architecture --- fault-tolerant --- legged robot --- optimization --- 3D printer --- Cartesian kinematics --- vibration analysis --- additive manufacturing --- mechanical design --- closed-kinematic chain manipulator (CKCM) --- sliding mode control (SMC) --- time-delay estimation (TDE) --- nonsingular fast terminal sliding mode control (NFTSMC) --- synchronization control --- model-free control --- n/a