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Focusing on non-intrusive load monitoring techniques in the area of smart grids and smart buildings, this book presents a thorough introduction to related basic principles, while also proposing improvements. As the basis of demand-side energy management, the non-intrusive load monitoring techniques are highly promising in terms of their energy-saving and carbon emission reduction potential. The book is structured clearly and written concisely. It introduces each aspect of these techniques with a number of examples, helping readers to understand and use the corresponding results. It provides latest strengths on the non-intrusive load monitoring techniques for engineers and managers of relevant departments. It also offers extensive information and a source of inspiration for researchers and students, while outlining future research directions.
Electric power systems --- Load dispatching. --- Load dispatching (Electric engineering) --- Energy efficiency. --- Artificial intelligence. --- Power electronics. --- Energy Efficiency. --- Artificial Intelligence. --- Power Electronics, Electrical Machines and Networks. --- Electronics, Power --- Electric power --- Electronics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Consumption of energy --- Energy efficiency --- Fuel consumption --- Fuel efficiency --- Power resources --- Energy conservation
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Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities. Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.
Artificial intelligence. --- Big data. --- Computational intelligence. --- Architecture. --- Neural networks (Computer science) . --- Artificial Intelligence. --- Big Data. --- Computational Intelligence. --- Cities, Countries, Regions. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Architecture, Western (Western countries) --- Building design --- Buildings --- Construction --- Western architecture (Western countries) --- Art --- Building --- Intelligence, Computational --- Data sets, Large --- Large data sets --- Data sets --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Design and construction --- Smart cities --- Forecasting. --- Cities and towns --- Architecture, Primitive
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This book provides an overview of flood and drought in the Lower Mekong Basin, reviews the characteristics of flood and drought, and details structural and non-structural measures for flood and drought mitigation employed in the basin countries, as well as their flood and drought mitigation capacity. Given its scope, the book offers a valuable resource for researchers and engineers in the field of transboundary rivers, especially those with an interest in the Lower Mekong River. .
Flood control --- Drought management --- Drought management. --- Management of droughts --- Hazard mitigation --- Flood prevention --- Flood protection --- Floods --- Prevention of floods --- Rivers --- Forest influences --- Prevention --- Regulation --- Engineering geology. --- Engineering—Geology. --- Foundations. --- Hydraulics. --- Hydrogeology. --- Natural disasters. --- Buildings—Design and construction. --- Building. --- Construction. --- Engineering, Architectural. --- Geoengineering, Foundations, Hydraulics. --- Natural Hazards. --- Building Construction and Design. --- Architectural engineering --- Buildings --- Construction --- Construction science --- Engineering, Architectural --- Structural design --- Structural engineering --- Architecture --- Construction industry --- Natural calamities --- Disasters --- Geohydrology --- Geology --- Hydrology --- Groundwater --- Flow of water --- Water --- Fluid mechanics --- Hydraulic engineering --- Jets --- Building --- Underground construction --- Caissons --- Earthwork --- Masonry --- Soil consolidation --- Soil mechanics --- Walls --- Engineering --- Civil engineering --- Geology, Economic --- Design and construction --- Flow --- Distribution --- Details
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Railroads --- Automation.
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Railroads --- Automatic train control. --- Automatic train control --- Positive train control --- PTC (Positive train control) --- Railroad trains --- Automatic speed control --- Automatic stop --- Electric equipment --- Safety appliances
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Railroad engineering. --- Engineering, Railroad --- Railroads --- Transportation engineering --- Engineering
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"Smart Metro Station Systems: Data Science and Engineering introduces key technologies in data science and engineering for smart metro station systems. The book consists of three main parts, focusing on the environment, people and energy. Each chapter includes practical applications, along with information on metro traffic flow monitoring and passenger guidance, methods for behavior analysis and trajectory projection, clustering and anomaly detection in crowd hotspots, monitoring and prediction for station humidity, monitoring and spatial prediction for air pollutants, time series feature extraction and analysis of metro load, characteristic and correlation analysis of metro load, and prediction and intelligent ventilation control. This volume offers a key reference on the emerging area of smart metro stations and will be useful to those working on smart railways, data science, engineering, artificial intelligence and aligned fields."--
Subways. --- Transportation. --- Public transportation --- Transport --- Transportation --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- Railroads, Underground --- Underground railroads --- Local transit --- Railroads --- Underground construction --- Urban transportation --- Underpasses --- Economic aspects --- Heavy rail rapid transit --- Metros (Subways) --- Rail rapid transit, Heavy --- Tubes (Subways) --- Undergrounds (Subways) --- Subway stations --- Artificial intelligence. --- Smart cities. --- Technological innovations. --- Data processing.
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Big data. --- Data sets, Large --- Large data sets --- Data sets
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