Big Data Analytics for Cyber-Physical System in Smart City PDF Download

Author: Mohammed Atiquzzaman
Publisher: Springer Nature
ISBN: 9811525684
Category : Technology & Engineering
Languages : en
Pages : 2049

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Book Description
This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 582

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Book Description

Author: Ángel Ortiz
Publisher: Springer
ISBN: 3319960059
Category : Technology & Engineering
Languages : en
Pages : 346

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Book Description
This book outlining the latest developments in engineering digital transformation gathers a selection of the best papers presented at the 11th International Conference on Industrial Engineering and Industrial Management (CIO 2017), held in Valencia, Spain, from July 5th to 6th, 2017. The papers discuss topics in the following areas: strategy and entrepreneurship, OR, modelling and simulation, production, logistics and supply chain management, information systems, quality and product management, knowledge and project management, service systems, and education.

Author: Alessia Arteconi
Publisher: MDPI
ISBN: 3039438492
Category : Technology & Engineering
Languages : en
Pages : 442

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Book Description
This Special Issue “Evaluation of Energy Efficiency and Flexibility in Smart Buildings” addresses the relevant role of buildings as strategic instruments to improve the efficiency and flexibility of the overall energy system. This role of the built environment is not yet fully developed and exploited and the book content contributes to increasing the general awareness of achievable benefits. In particular, different topics are discussed, such as optimal control, innovative efficient technologies, methodological approaches, and country analysis about energy efficiency and energy flexibility potential of the built environment. The Special Issue offers valuable insights into the most recent research developments worldwide.

Author: Anastasios Dounis
Publisher: MDPI
ISBN: 3039214152
Category : Science
Languages : en
Pages : 508

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Book Description
The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Author: Jan L.M. Hensen
Publisher: Routledge
ISBN: 0429688539
Category : Architecture
Languages : en
Pages : 922

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Book Description
When used appropriately, building performance simulation has the potential to reduce the environmental impact of the built environment, to improve indoor quality and productivity, as well as to facilitate future innovation and technological progress in construction. Since publication of the first edition of Building Performance Simulation for Design and Operation, the discussion has shifted from a focus on software features to a new agenda, which centres on the effectiveness of building performance simulation in building life cycle processes. This new edition provides a unique and comprehensive overview of building performance simulation for the complete building life cycle from conception to demolition, and from a single building to district level. It contains new chapters on building information modelling, occupant behaviour modelling, urban physics modelling, urban building energy modelling and renewable energy systems modelling. This new edition keeps the same chapter structure throughout including learning objectives, chapter summaries and assignments. Moreover, the book: • Provides unique insights into the techniques of building performance modelling and simulation and their application to performance-based design and operation of buildings and the systems which service them. • Provides readers with the essential concepts of computational support of performance-based design and operation. • Provides examples of how to use building simulation techniques for practical design, management and operation, their limitations and future direction. It is primarily intended for building and systems designers and operators, and postgraduate architectural, environmental or mechanical engineering students.

Author: Ibrahim Dincer
Publisher: Elsevier
ISBN: 0128149256
Category : Science
Languages : en
Pages : 5543

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Book Description
Comprehensive Energy Systems, Seven Volume Set provides a unified source of information covering the entire spectrum of energy, one of the most significant issues humanity has to face. This comprehensive book describes traditional and novel energy systems, from single generation to multi-generation, also covering theory and applications. In addition, it also presents high-level coverage on energy policies, strategies, environmental impacts and sustainable development. No other published work covers such breadth of topics in similar depth. High-level sections include Energy Fundamentals, Energy Materials, Energy Production, Energy Conversion, and Energy Management. Offers the most comprehensive resource available on the topic of energy systems Presents an authoritative resource authored and edited by leading experts in the field Consolidates information currently scattered in publications from different research fields (engineering as well as physics, chemistry, environmental sciences and economics), thus ensuring a common standard and language

Author: Zhenjun Ma
Publisher: Elsevier
ISBN: 0323995896
Category : Science
Languages : en
Pages : 288

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Book Description
Building Energy Flexibility and Demand Management looks at the high penetration of intermittent renewable energy sources and the need for increased flexibility. Ensuring electrical power systems adapt to dynamic energy demand and supply conditions, the book supports the transition to a renewable energy future with current fluctuating power generation. By facilitating the penetration of renewable energy sources into the building sector and balancing electricity supply with demand in real-time, this book will provide fundamental concepts, theories, and methods to understand, quantify, design and optimize building energy flexibility. In addition, the book also provides case studies with emerging technologies to enhance building energy flexibility and demonstrate how demand management strategies can utilize energy flexibility for demand reduction and load shifting. It will be useful for all those researchers and engineers working in flexible energy systems and advanced demand side management strategies. - Focuses on how renewable energy and storage technologies can be appropriately designed and optimized to increase building energy flexibility - Discusses how building energy flexibility can contribute to reduced operating costs and grid optimization - Details how to effectively implement building energy flexibility for demand response, peak demand reduction and peak load shifting

Author: Konstantinos Kyprianidis
Publisher: BoD – Books on Demand
ISBN: 1789858771
Category : Technology & Engineering
Languages : en
Pages : 274

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Book Description
Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI

Author: Haiqin Yang
Publisher: Springer Nature
ISBN: 3030638200
Category : Computers
Languages : en
Pages : 863

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Book Description
The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.