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| Author | : John Clint |
| Publisher | : |
| Total Pages | : 91 |
| Release | : 2020 |
| Genre | : Distributed generation of electric power |
| ISBN | : |
| Author | : Fabio Luigi Bellifemine |
| Publisher | : John Wiley & Sons |
| Total Pages | : 300 |
| Release | : 2007-03-13 |
| Genre | : Technology & Engineering |
| ISBN | : 0470058404 |
Learn how to employ JADE to build multi-agent systems! JADE (Java Agent DEvelopment framework) is a middleware for the development of applications, both in the mobile and fixed environment, based on the Peer-to-Peer intelligent autonomous agent approach. JADE enables developers to implement and deploy multi-agent systems, including agents running on wireless networks and limited-resource devices. Developing Multi-Agent Systems with JADE is a practical guide to using JADE. The text will give an introduction to agent technologies and the JADE Platform, before proceeding to give a comprehensive guide to programming with JADE. Basic features such as creating agents, agent tasks, agent communication, agent discovery and GUIs are covered, as well as more advanced features including ontologies and content languages, complex behaviours, interaction protocols, agent mobility, and the in-process interface. Issues such as JADE internals, running JADE agents on mobile devices, deploying a fault tolerant JADE platform, and main add-ons are also covered in depth. Developing Multi-Agent Systems with JADE: Comprehensive guide to using JADE to build multi-agent systems and agent orientated programming. Describes and explains ontologies and content language, interaction protocols and complex behaviour. Includes material on persistence, security and a semantics framework. Contains numerous examples, problems, and illustrations to enhance learning. Presents a case study demonstrating the use of JADE in practice. Offers an accompanying website with additional learning resources such as sample code, exercises and PPT-slides. This invaluable resource will provide multi-agent systems practitioners, programmers working in the software industry with an interest on multi-agent systems as well as final year undergraduate and postgraduate students in CS and advanced networking and telecoms courses with a comprehensive guide to using JADE to employ multi agent systems. With contributions from experts in JADE and multi agent technology.
| Author | : Information Resources Management Association |
| Publisher | : Engineering Science Reference |
| Total Pages | : |
| Release | : 2021-09-24 |
| Genre | : Microgrids (Smart power grids) |
| ISBN | : 9781668436660 |
"This reference book covers the latest innovations and trends within smart grid and microgrid development, detailing benefits, challenges, and opportunities, that will help readers to fully understand the current opportunities that smart grids and microgrids present around the world"--
| Author | : Jae Hwi Jang |
| Publisher | : |
| Total Pages | : 318 |
| Release | : 2008 |
| Genre | : |
| ISBN | : |
| Author | : Kaile Zhou |
| Publisher | : Springer Nature |
| Total Pages | : 317 |
| Release | : 2022-02-04 |
| Genre | : Business & Economics |
| ISBN | : 9811693609 |
This book provides a relatively whole view of data-driven decision-making methods for energy service innovation and energy system optimization. Through personalized energy services provision and energy efficiency improvement, the book can contribute to the green transformation of energy system and the sustainable development of the society. The book gives a new way to achieve smart energy management, based on various data mining and machine learning methods, including fuzzy clustering, shape-based clustering, ensemble clustering, deep learning, and reinforcement learning. The applications of these data-driven methods in improving energy efficiency and supporting energy service innovation are presented. Moreover, this book also investigates the role of blockchain in supporting peer-to-peer (P2P) electricity trading innovation, thus supporting smart energy management. The general scope of this book mainly includes load clustering, load forecasting, price-based demand response, incentive-based demand response, and energy blockchain-based electricity trading. The intended readership of the book includes researchers and engineers in related areas, graduate and undergraduate students in university, and some other general interested audience. The important features of the book are: (1) it introduces various data-driven methods for achieving different smart energy management tasks; (2) it investigates the role of data-driven methods in supporting various energy service innovation; and (3) it explores energy blockchain in P2P electricity trading, and thus supporting smart energy management.
| Author | : Brian Paul Stalling |
| Publisher | : |
| Total Pages | : 486 |
| Release | : 2012 |
| Genre | : Demand-side management (Electric utilities) |
| ISBN | : 9781303005527 |
With the growing energy consumption of residential homes and the emergence of time-of-use (TOU) and real-time electricity pricing, there is need for a system that will intelligently manage energy usage at the residential level. Such a system would automatically manage the use of onsite energy resources, such as photovoltaic (PV) arrays and battery storage, to reduce the home's grid energy consumption when the electricity price is high. This will yield savings for both the home owner and utility company. Additionally, this system would incorporate other data and interfaces such as weather data, home user preferences, load monitoring and management, communications with the utility company, and uninterruptible power during a grid outage. Current available systems do not provide such capabilities and require much user interface and control. Research has been done to design, develop, and evaluate a smart energy management system with such capabilities for a residential home. Certain design goals and requirements of the energy management system, named "Smart Green Power Node" (SGPN), were considered when choosing the overall topology. The hardware includes both low-voltage (LV) and high-voltage (HV) DC/DC converters, some of which are bidirectional, as well as a bidirectional grid-tied inverter. This hardware has been designed, built, and tested. The obtained results conclude that the hardware design meets the system's various requirements and illustrates recommended changes for future work. The system's design outlines challenges such as maximum power point tracking (MPPT) control and power flow control that are to be considered in future work.
| Author | : Christoph Grimm |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 159 |
| Release | : 2012-09-18 |
| Genre | : Technology & Engineering |
| ISBN | : 1441987959 |
This book provides a comprehensive introduction to embedded systems for smart appliances and energy management, bringing together for the first time a multidisciplinary blend of topics from embedded systems, information technology and power engineering. Coverage includes challenges for future resource distribution grids, energy management in smart appliances, micro energy generation, demand response management, ultra-low power stand by, smart standby and communication networks in home and building automation.
| Author | : John Littlewood |
| Publisher | : Springer |
| Total Pages | : 281 |
| Release | : 2017-05-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3319520768 |
There is widespread interest in the way that smart energy control systems, such as assessment and monitoring techniques for low carbon, nearly-zero energy and net positive buildings can contribute to a Sustainable future, for current and future generations. There is a turning point on the horizon for the supply of energy from finite resources such as natural gas and oil become less reliable in economic terms and extraction become more challenging, and more unacceptable socially, such as adverse public reaction to ‘fracking’. Thus, in 2016 these challenges are having a major influence on the design, optimisation, performance measurements, operation and preservation of: buildings, neighbourhoods, cities, regions, countries and continents. The source and nature of energy, the security of supply and the equity of distribution, the environmental impact of its supply and utilization, are all crucial matters to be addressed by suppliers, consumers, governments, industry, academia, and financial institutions. This book entitled ‘Smart Energy Control Systems for Sustainable Buildings’ contains eleven chapters written by international experts based on enhanced conference papers presented at the Sustainability and Energy in Buildings International conference series. This book will be of interest to University staff and students; and also industry practioners.
| Author | : Giridhar Kini |
| Publisher | : IntechOpen |
| Total Pages | : 290 |
| Release | : 2011-08-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9789533075792 |
This book comprises of 13 chapters and is written by experts from industries, and academics from countries such as USA, Canada, Germany, India, Australia, Spain, Italy, Japan, Slovenia, Malaysia, Mexico, etc. This book covers many important aspects of energy management, forecasting, optimization methods and their applications in selected industrial, residential, generation system. This book also captures important aspects of smart grid and photovoltaic system. Some of the key features of books are as follows: Energy management methodology in industrial plant with a case study; Online energy system optimization modelling; Energy optimization case study; Energy demand analysis and forecast; Energy management in intelligent buildings; PV array energy yield case study of Slovenia;Optimal design of cooling water systems; Supercapacitor design methodology for transportation; Locomotive tractive energy resources management; Smart grid and dynamic power management.
| Author | : Krithi Ramamritham |
| Publisher | : World Scientific |
| Total Pages | : 312 |
| Release | : 2021-12-28 |
| Genre | : Science |
| ISBN | : 9811252300 |
The focus of this book is smart energy management with the recurring theme being the use of computational and data-driven methods that use requirements/measurement/monitoring data to drive actuation/control, optimization, and resource management. The computational perspective is applied to manage energy, with an emphasis on smart buildings and the smart electric grids.The book also presents computational thinking and techniques such as inferencing and learning for energy management. To this end, this book is designed to help understand the recent research trends in energy management, focusing specifically on the efforts to increase energy efficiency of buildings, campuses, and cities.
