On The Design Of The Eep Bonus Allocation Mechanism


On The Design Of The Eep Bonus Allocation Mechanism
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On The Design Of The Eep Bonus Allocation Mechanism


On The Design Of The Eep Bonus Allocation Mechanism
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Author : Humei Wang
language : en
Publisher:
Release Date : 2001

On The Design Of The Eep Bonus Allocation Mechanism written by Humei Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.




Dissertation Abstracts International


Dissertation Abstracts International
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Author :
language : en
Publisher:
Release Date : 2002

Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Dissertations, Academic categories.




Blockchain Of Things And Deep Learning Applications In Construction


Blockchain Of Things And Deep Learning Applications In Construction
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Author : Faris Elghaish
language : en
Publisher: Springer Nature
Release Date : 2022-07-09

Blockchain Of Things And Deep Learning Applications In Construction written by Faris Elghaish and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-09 with Technology & Engineering categories.


This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of cracks accurately in a very short time compared to traditional approaches. The book explores the integration of IoT and blockchain to provide practical solutions to tackle existing challenges like the endemic fragmentation in supply chain, the need for monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced to exploit the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared economy and health care. Workable potential use cases to exploit successful utilization of BCoT for the construction industry are explored in the book’s chapters. This book will appeal to researchers in providing a comprehensive review of related literature on blockchain, the IoT and construction identify gaps and offer a springboard for future research. Construction practitioners, research and development institutes and policy makers will also benefit from its usefulness as a reference book and collection of case studies on the application of these new approaches in construction.



Integration Of Distributed Resources In Smart Grids For Demand Response And Transactive Energy


Integration Of Distributed Resources In Smart Grids For Demand Response And Transactive Energy
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Author : Meng Song
language : en
Publisher: Springer Nature
Release Date : 2021-11-30

Integration Of Distributed Resources In Smart Grids For Demand Response And Transactive Energy written by Meng Song and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-30 with Technology & Engineering categories.


The proliferation of renewable energy enhances the sustainability of power systems, but the inherent variability also poses great challenges to the planning and operation of large power grids. The corresponding electric power deficiencies can be compensated by fast ramping generators and energy storage devices. However, frequent ramp up/down power adjustments can increase the operation and the maintenance cost of generators. Moreover, storage devices are regarded as costly alternatives. Demand response (DR) and transactive energy can address this problem owing to its attractive and versatile capability for balancing the supply-demand, improving energy efficiency, and enhancing system resilience. Distributed resources are the typical participants of DR and transactive energy programs, which greatly contribute to keep the supply and demand in a balance. Thermostatically controlled loads (TCLs) (i.e., air conditioners, water heaters, and refrigerators) represent an example of distributed resources, the ratio of which to the total power consumption in developed countries is up to 30%–40%. Providing tremendous potentials in adjustable power consumption, TCLs have attracted major interests in DR and transactive energy opportunities. It has highlighted the advantages of TCLs in responding to uncertainties in power systems. This book provides an insight of TCLs as typical distributed resources in smart grids for demand response and transactive energy to address the imbalance between supply and demand problems in power systems. The key points on analysis of uncertainty parameters, aggregated control models, battery modelling, multi-time scale control, transactive control and robust restoration of TCLs are all included. These are the research points of smart grids and deserve much attention. We believe this book will offer the related researcher a better understanding on the integration of distributed resources into smart grid for demand response and transactive energy. And it will be helpful to address the problems in practical projects.



Machine Learning And Intelligent Communications


Machine Learning And Intelligent Communications
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Author : Limin Meng
language : en
Publisher: Springer
Release Date : 2018-10-12

Machine Learning And Intelligent Communications written by Limin Meng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-12 with Computers categories.


This volume constitutes the refereed post-conference proceedings of the Third International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, held in Hangzhou, China, in July 2018. The 66 revised full papers were carefully selected from 102 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, wireless mobile network and security, cognitive radio and intelligent networking, IoT, intelligent satellite communications and networking, green communication and intelligent networking, ad-hoc and sensor networks, resource allocation in wireless and cloud networks, signal processing in wireless and optical communications, and intelligent cooperative communications and networking.



Mechanisms And Games For Dynamic Spectrum Allocation


Mechanisms And Games For Dynamic Spectrum Allocation
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Author : Tansu Alpcan
language : en
Publisher: Cambridge University Press
Release Date : 2013-12-19

Mechanisms And Games For Dynamic Spectrum Allocation written by Tansu Alpcan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-19 with Technology & Engineering categories.


Presenting state-of-the-art research into methods of wireless spectrum allocation based on game theory and mechanism design, this innovative and comprehensive book provides a strong foundation for the design of future wireless mechanisms and spectrum markets. Prominent researchers showcase a diverse range of novel insights and approaches to the increasing demand for limited spectrum resources, with a consistent emphasis on theoretical methods, analytical results and practical examples. Covering fundamental underlying principles, licensed spectrum sharing, opportunistic spectrum sharing, and wider technical and economic considerations, this singular book will be of interest to academic and industrial researchers, wireless industry practitioners, and regulators interested in the foundations of cutting-edge spectrum management.



Mechanisms For Stability And Welfare Increasing Cooperation Among Self Interested Agents


Mechanisms For Stability And Welfare Increasing Cooperation Among Self Interested Agents
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Author : Reshef Meir
language : en
Publisher: Lulu.com
Release Date : 2014-08-10

Mechanisms For Stability And Welfare Increasing Cooperation Among Self Interested Agents written by Reshef Meir and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-10 with Computers categories.


Too often an interaction among self-interested parties leads to an outcome that is not in the best interest of any of them. In this thesis, I look at such interactions as games, so that the loss of stability and welfare can be measured and studied using the standard concepts of game theory such as equilibrium and utility. I study and design mechanisms that alter these games in order to induce more cooperation, stable outcomes, and higher utility for the participants.



Encyclopedia Of Energy Natural Resource And Environmental Economics


Encyclopedia Of Energy Natural Resource And Environmental Economics
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Author :
language : en
Publisher: Newnes
Release Date : 2013-03-29

Encyclopedia Of Energy Natural Resource And Environmental Economics written by and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-29 with Business & Economics categories.


Every decision about energy involves its price and cost. The price of gasoline and the cost of buying from foreign producers; the price of nuclear and hydroelectricity and the costs to our ecosystems; the price of electricity from coal-fired plants and the cost to the atmosphere. Giving life to inventions, lifestyle changes, geopolitical shifts, and things in-between, energy economics is of high interest to Academia, Corporations and Governments. For economists, energy economics is one of three subdisciplines which, taken together, compose an economic approach to the exploitation and preservation of natural resources: energy economics, which focuses on energy-related subjects such as renewable energy, hydropower, nuclear power, and the political economy of energy resource economics, which covers subjects in land and water use, such as mining, fisheries, agriculture, and forests environmental economics, which takes a broader view of natural resources through economic concepts such as risk, valuation, regulation, and distribution Although the three are closely related, they are not often presented as an integrated whole. This Encyclopedia has done just that by unifying these fields into a high-quality and unique overview. The only reference work that codifies the relationships among the three subdisciplines: energy economics, resource economics and environmental economics. Understanding these relationships just became simpler! Nobel Prize Winning Editor-in-Chief (joint recipient 2007 Peace Prize), Jason Shogren, has demonstrated excellent team work again, by coordinating and steering his Editorial Board to produce a cohesive work that guides the user seamlessly through the diverse topics This work contains in equal parts information from and about business, academic, and government perspectives and is intended to serve as a tool for unifying and systematizing research and analysis in business, universities, and government



Deep Learning For Biological Network Analysis


Deep Learning For Biological Network Analysis
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Author : Jianye Hao
language : en
Publisher: Frontiers Media SA
Release Date : 2022-02-07

Deep Learning For Biological Network Analysis written by Jianye Hao and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-07 with Science categories.




Deep Reinforcement Learning For Wireless Communications And Networking


Deep Reinforcement Learning For Wireless Communications And Networking
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Author : Dinh Thai Hoang
language : en
Publisher: John Wiley & Sons
Release Date : 2023-06-30

Deep Reinforcement Learning For Wireless Communications And Networking written by Dinh Thai Hoang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Technology & Engineering categories.


Deep Reinforcement Learning for Wireless Communications and Networking Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design. Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as: Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association Network layer applications, covering traffic routing, network classification, and network slicing With comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.