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Production and consumption activities have determined a weakness of the sustainable real estate economy. The main problems are the subordination of public decision making, which is subjected to pressure from big companies; inefficient appraisal procedures; excessive use of financial leverage in investment projects; the atypical nature of markets; income positions in urban transformations; and the financialization of real estate markets, with widespread negative effects. A delicate role in these complex problems is assigned to real estate appraisal activities, called to make value judgments on real estate goods and investment projects, the prices of which are often formed in atypical real estate markets, giving ever greater importance to sustainable development and transformation issues. This Special Issue is dedicated to developing and disseminating knowledge and innovations related to most recent real estate evaluation methodologies applied in the fields of architecture and civil, building, environmental, and territorial engineering. Suitable works include studies on econometric models, sustainable building management, building costs, risk management and real estate appraisal, mass appraisal methods applied to real estate properties, urban and land economics, transport economics, the application of economics and financial techniques to real estate markets, the economic valuation of real estate investment projects, the economic effects of building transformations or projects on the environment, and sustainable real estate.

Information technology industries --- big data --- decision-making --- feasibility study --- fuzzy theory --- high-rise building --- mixed-use development --- urban tree canopy (UTC) --- hedonic price model --- two-stage spatial model --- multi-level mixed model --- varying effect --- customer gender --- women --- tenure choice --- sustainable housing --- housing market --- mass appraisal techniques --- evaluation model --- hedonic price method --- geographically weighted regression --- evolutionary polynomial regression --- market value --- smart building --- smart energy system --- renewable energy resources --- energy storage --- reserve power system --- investor motives --- investment profitability --- smart readiness indicator --- discounted cash flow analysis --- natural landscape --- views --- visual perception --- housing price --- quantile regression --- marginal impact --- wealth inequality --- growth management --- sustainable development --- transit-oriented development --- contingent valuation method --- retirement --- housing downsizing --- housing consumption --- housing tenure choice --- consumption --- housing wealth effect --- financial wealth effect --- multi-step causality --- ESG --- real estate companies --- ratings --- sustainability --- energy efficiency --- sustainable decision-making --- sustainable social housing management --- multi-criteria decision-making (MCDM) --- AHP --- WASPAS --- COPRAS --- social cohesion --- uncertainty --- U.S. housing markets --- local projection method --- impulse response functions --- n/a

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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 book covers the technological progress and developments of a large-scale wind energy conversion system along with its future trends, with each chapter constituting a contribution by a different leader in the wind energy arena. Recent developments in wind energy conversion systems, system optimization, stability augmentation, power smoothing, and many other fascinating topics are included in this book. Chapters are supported through modeling, control, and simulation analysis. This book contains both technical and review articles.

doubly-fed induction generator --- fault current limiters --- power system --- power smoothing --- fault characteristics --- prediction intervals --- wind forecast --- PI controller --- transmission line --- wake effect --- real fault cases --- reliability of electricity supplies --- load frequency control --- optimization --- reserve power --- battery energy storage system --- wind turbine allocation --- primary frequency control --- low voltage ride through (LVRT) --- de-loading --- fault ride-through --- fault diagnosis and isolation --- fractional order proportional-integral-differential controller --- multi-objective artificial bee colony algorithm --- Fault Ride Through (FRT) --- distance protection --- droop curve --- Distribution Static VAr Compensator(D-SVC) --- Distributed-Flexible AC Transmission system (D-FACTS) --- rotor inertia --- power wind turbine --- LPV observer --- doubly fed induction generator (DFIG) --- squirrel cage induction generator (SCIG) --- wind farm --- optimal control --- fuzzy logic controller (FLC) --- wind power forecasting --- wavelet neural network --- DFIG-based wind farm --- permanent magnet synchronous generator --- automatic generation control --- series dynamic braking resistor --- hardware-in-the-loop --- superconductor --- Distribution Static Synchronous Compensator (D-STATCOM) --- control wind turbine --- kinetic energy storage --- multiple sensor faults --- large-scale wind farm --- doubly-fed induction generator --- fault current limiters --- power system --- power smoothing --- fault characteristics --- prediction intervals --- wind forecast --- PI controller --- transmission line --- wake effect --- real fault cases --- reliability of electricity supplies --- load frequency control --- optimization --- reserve power --- battery energy storage system --- wind turbine allocation --- primary frequency control --- low voltage ride through (LVRT) --- de-loading --- fault ride-through --- fault diagnosis and isolation --- fractional order proportional-integral-differential controller --- multi-objective artificial bee colony algorithm --- Fault Ride Through (FRT) --- distance protection --- droop curve --- Distribution Static VAr Compensator(D-SVC) --- Distributed-Flexible AC Transmission system (D-FACTS) --- rotor inertia --- power wind turbine --- LPV observer --- doubly fed induction generator (DFIG) --- squirrel cage induction generator (SCIG) --- wind farm --- optimal control --- fuzzy logic controller (FLC) --- wind power forecasting --- wavelet neural network --- DFIG-based wind farm --- permanent magnet synchronous generator --- automatic generation control --- series dynamic braking resistor --- hardware-in-the-loop --- superconductor --- Distribution Static Synchronous Compensator (D-STATCOM) --- control wind turbine --- kinetic energy storage --- multiple sensor faults --- large-scale wind farm

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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.

History of engineering & technology --- 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