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Non Intrusive Load Monitoring Nilm
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Book Synopsis UbiComp 2007: Ubiquitous Computing by : John Krumm
Download or read book UbiComp 2007: Ubiquitous Computing written by John Krumm and published by Springer Science & Business Media. This book was released on 2007-09-14 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Ubiquitous Computing, UbiComp 2007. It covers all current issues in ubiquitous, pervasive and handheld computing systems and their applications, including tools and techniques for designing, implementing, and evaluating ubiquitous computing systems; mobile, wireless, and ad hoc networking infrastructures for ubiquitous computing; privacy, security, and trust in ubiquitous and pervasive systems.
Book Synopsis Adaptive and Natural Computing Algorithms by : Andrej Dobnikar
Download or read book Adaptive and Natural Computing Algorithms written by Andrej Dobnikar and published by Springer Science & Business Media. This book was released on 2011-03-03 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The second volume includes 41 papers organized in topical sections on pattern recognition and learning, soft computing, systems theory, support vector machines, and bioinformatics.
Book Synopsis Machine Learning Approaches to Non-Intrusive Load Monitoring by : Roberto Bonfigli
Download or read book Machine Learning Approaches to Non-Intrusive Load Monitoring written by Roberto Bonfigli and published by Springer Nature. This book was released on 2019-11-01 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on Smart Grids has recently focused on the energy monitoring issue, with the objective of maximizing the user consumption awareness in building contexts on the one hand, and providing utilities with a detailed description of customer habits on the other. In particular, Non-Intrusive Load Monitoring (NILM), the subject of this book, represents one of the hottest topics in Smart Grid applications. NILM refers to those techniques aimed at decomposing the consumption-aggregated data acquired at a single point of measurement into the diverse consumption profiles of appliances operating in the electrical system under study. This book provides a status report on the most promising NILM methods, with an overview of the publically available dataset on which the algorithm and experiments are based. Of the proposed methods, those based on the Hidden Markov Model (HMM) and the Deep Neural Network (DNN) are the best performing and most interesting from the future improvement point of view. One method from each category has been selected and the performance improvements achieved are described. Comparisons are made between the two reference techniques, and pros and cons are considered. In addition, performance improvements can be achieved when the reactive power component is exploited in addition to the active power consumption trace.
Book Synopsis Non-Intrusive Load Monitoring (NILM) by : Timo Bernard
Download or read book Non-Intrusive Load Monitoring (NILM) written by Timo Bernard and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Twin-Control written by Mikel Armendia and published by Springer. This book was released on 2019-01-05 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book summarizes the results of the European research project “Twin-model based virtual manufacturing for machine tool-process simulation and control” (Twin-Control). The first part reviews the applications of ICTs in machine tools and manufacturing, from a scientific and industrial point of view, and introduces the Twin-Control approach, while Part 2 discusses the development of a digital twin of machine tools. The third part addresses the monitoring and data management infrastructure of machines and manufacturing processes and numerous applications of energy monitoring. Part 4 then highlights various features developed in the project by combining the developments covered in Parts 3 and 4 to control the manufacturing processes applying the so-called CPSs. Lastly, Part 5 presents a complete validation of Twin-Control features in two key industrial sectors: aerospace and automotive. The book offers a representative overview of the latest trends in the manufacturing industry, with a focus on machine tools.
Book Synopsis 2019 IEEE Power & Energy Society General Meeting (PESGM). by :
Download or read book 2019 IEEE Power & Energy Society General Meeting (PESGM). written by and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Low Cost Framework for Non-intrusive Load Monitoring (NILM) to Monitor Human Behavioral Pattern by : Omid Pezeshkfar
Download or read book Low Cost Framework for Non-intrusive Load Monitoring (NILM) to Monitor Human Behavioral Pattern written by Omid Pezeshkfar and published by . This book was released on 2013 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-Intrusive Load Monitoring (NILM) is a technique that measures and samples voltage and current from an electrical power source in order to infer what devices or appliances are being used at a given time. A NILM system can monitor a single phase or 3-phase electrical system. This system basically captures those waveforms and then calculates the power waveforms for each phase. Thus, a NILM system may monitor the electrical system from a single reference point, such as a circuit breaker box. The associated software is the biggest challenge in this area, as it has to detect on/off events for each device using only the power waveforms. This thesis presents a low cost framework design and hardware implementation of NILM designed to monitor residential activities inside the home. The motivation for this work is specifically to monitor seniors in their homes, such as is currently done in residential living communities such as TigerPlace in Columbia, Missouri. The goal of this work is to be able to monitor the usage of appliances and electrical devices inside the home, thereby allowing analysis of the daily, monthly, or yearly pattern of usage that might reveal changes in an everyday routine. A key criterion for developing a monitoring system for the home is to protect the privacy of residents; NILM is a natural choice because it does not require any intrusive sensors. The development, testing, and results from deploying a prototype NILM system are described, along with ideas for extending the work of this thesis.
Book Synopsis 2021 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) by : IEEE Staff
Download or read book 2021 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) written by IEEE Staff and published by . This book was released on 2021-06-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic Control and Intelligent Systems System Identification and Modeling Signal Processing Instrumentation and Automation Technological Advancements Power Systems Engineering Communication Engineering Electronics Engineering Computer Engineering
Book Synopsis Filtering in Non-Intrusive Load Monitoring by : Alejandro Rodriguez Silva
Download or read book Filtering in Non-Intrusive Load Monitoring written by Alejandro Rodriguez Silva and published by . This book was released on 2021 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Being able to track appliances energy usage without the need of sensors can help occupants reduce their energy consumption. Non-intrusive load monitoring (NILM) is one name for this topic. One of the hardest problems NILM faces is the ability to run unsupervised - discovering appliances without prior knowledge - and to run independent of the differences in appliance mixes and operational characteristics found in various countries and regions. This thesis showcases two filters that are used to denoise power signals, which results in better clustering accuracy for NILM event based methods. Both filters show to outperform a state-of-the-art denoising filter, in terms of run-time. A fully unsupervised NILM solution is presented, the algorithm is based on a hybrid knapsack problem with a Gaussian mixture model. Finally, a novel metric is developed to measure NILM disaggregation performance. The metric shows to be robust under a set of fundamental test cases.
Book Synopsis Artificial Intelligence for Smart and Sustainable Energy Systems and Applications by : Miltiadis D. Lytras
Download or read book Artificial Intelligence for Smart and Sustainable Energy Systems and Applications written by Miltiadis D. Lytras and published by MDPI. This book was released on 2020-05-27 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.
Book Synopsis Sensing Devices for Non-intrusive Load Monitoring (NILM) Systems by : British Standards Institution
Download or read book Sensing Devices for Non-intrusive Load Monitoring (NILM) Systems written by British Standards Institution and published by . This book was released on 2021 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Big Data Application in Power Systems by : Reza Arghandeh
Download or read book Big Data Application in Power Systems written by Reza Arghandeh and published by Elsevier. This book was released on 2024-07-01 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Application in Power Systems, Second Edition presents a thorough update of the previous volume, providing readers with step-by-step guidance in big data analytics utilization for power system diagnostics, operation, and control. Bringing back a team of global experts and drawing on fresh, emerging perspectives, this book provides cutting-edge advice for meeting today's challenges in this rapidly accelerating area of power engineering. Divided into three parts, this book begins by breaking down the big picture for electric utilities, before zooming in to examine theoretical problems and solutions in detail. Finally, the third section provides case studies and applications, demonstrating solution troubleshooting and design from a variety of perspectives and for a range of technologies. Readers will develop new strategies and techniques for leveraging data towards real-world outcomes. Including five brand new chapters on emerging technological solutions, Big Data Application in Power Systems, Second Edition remains an essential resource for the reader aiming to utilize the potential of big data in the power systems of the future. - Provides a total refresh to include the most up-to-date research, developments, and challenges - Focuses on practical techniques, including rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches for processing high dimensional, heterogeneous, and spatiotemporal data - Engages with cross-disciplinary lessons, drawing on the impact of intersectional technology including statistics, computer science, and bioinformatics - Includes five brand new chapters on hot topics, ranging from uncertainty decision-making to features, selection methods, and the opportunities provided by social network data
Book Synopsis Active Learning Framework for Non-Intrusive Load Monitoring: Preprint by :
Download or read book Active Learning Framework for Non-Intrusive Load Monitoring: Preprint written by and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-Intrusive Load Monitoring (NILM) is a set of techniques that estimate the electricity usage of individual appliances from power measurements taken at a limited number of locations in a building. One of the key challenges in NILM is having too much data without class labels yet being unable to label the data manually for cost or time constraints. This paper presents an active learning framework that helps existing NILM techniques to overcome this challenge. Active learning is an advanced machine learning method that interactively queries a user for the class label information. Unlike most existing NILM systems that heuristically request user inputs, the proposed method only needs minimally sufficient information from a user to build a compact and yet highly representative load signature library. Initial results indicate the proposed method can reduce the user inputs by up to 90% while still achieving similar disaggregation performance compared to a heuristic method. Thus, the proposed method can substantially reduce the burden on the user, improve the performance of a NILM system with limited user inputs, and overcome the key market barriers to the wide adoption of NILM technologies.
Book Synopsis NON-INTRUSIVE LOAD MONITORING (NILM) TECHNIQUES by : Soumyajit Ghosh
Download or read book NON-INTRUSIVE LOAD MONITORING (NILM) TECHNIQUES written by Soumyajit Ghosh and published by . This book was released on 2023-04-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sources from which electrical energy is derived are getting exhausted day by day. So, the need has arisen to look for other renewable sources of energy which would meet the increasing demand. This is where the need of employing smart meter in residential houses arises. Smart meter helps householders to understand the pattern of electricity consumption by their houses' appliances and as a result find alternatives to lessen the energy consumption . In the present day a considerable amount of electricity is consumed by the household sector. An awareness among people regarding the consumption pattern will help to reduce electricity consumption . Efficient load monitoring in the metering side of households can improve the household energy management system considerably. In the residential energy monitoring system, the deployment of smart meters will have enormous contribution to the efficient and effective management system of energy. Real-time information, more reliable, secure, about consumers can be accessed by this. Consumers can have information of their energy consumption pattern and thereby use electricity judiciously through the communication between them and utility. The acquisition of data will be faster and more accurate with the concept of smart greed which was not possible earlier on account of lacking real-time information. For collection of real time data residences should be provided with sensors or devices for gathering such information and smart appliances for management and optimization of consumption of energy. Keeping in mind the fact that a smart grid is vital for implementing load monitoring and identification, this chapter deals with the conception regarding smart grid and its effective implementation in residential sector. The identification of loads and its monitoring are also the concerns of this chapter. In recent times, global utility industries are giving much endeavour to address challenges like generation heterogeneity, demand response, reduction in overall emission of carbon and conservation of energy. While conventional power grid, in vogue is unable to address such critical issues, it is expected from smart grid or intelligent grid to cover up the vital deficiency of the power grid used conventionally The rising energy demand and the scarcity of resources have made it extremely important to conserve energy throughout the world. Globally, out of the total energy consumption, consumption of residential energy accounts for a lion's share and it is predicted to rise in the upcoming days. For instance, in the European Union, 40% of the generated electricity is consumed by the residential sector and it is envisaged that the world-wide demand of energy will increase considerably by 2030. In United States too, approximately 35% of the whole energy produced gets consumed by the residential sector. Moreover, this consumption is estimated to rise by 15% by the year 2030 . Apart from energy price hikes and change in climate, the rise in consumption of energy will also affect a country's economy directly. In view of the above, it is very essential to reduce energy consumption, especially at the residential sector, significantly. To achieve this, residential energy consumption monitoring and relaying of data back to the consumers play a significant role.
Book Synopsis Non-intrusive Load Monitoring by : Hui Liu
Download or read book Non-intrusive Load Monitoring written by Hui Liu and published by Springer Nature. This book was released on 2019-12-12 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Microgrid Technologies by : C. Sharmeela
Download or read book Microgrid Technologies written by C. Sharmeela and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microgrid technology is an emerging area, and it has numerous advantages over the conventional power grid. A microgrid is defined as Distributed Energy Resources (DER) and interconnected loads with clearly defined electrical boundaries that act as a single controllable entity concerning the grid. Microgrid technology enables the connection and disconnection of the system from the grid. That is, the microgrid can operate both in grid-connected and islanded modes of operation. Microgrid technologies are an important part of the evolving landscape of energy and power systems. Many aspects of microgrids are discussed in this volume, including, in the early chapters of the book, the various types of energy storage systems, power and energy management for microgrids, power electronics interface for AC & DC microgrids, battery management systems for microgrid applications, power system analysis for microgrids, and many others. The middle section of the book presents the power quality problems in microgrid systems and its mitigations, gives an overview of various power quality problems and its solutions, describes the PSO algorithm based UPQC controller for power quality enhancement, describes the power quality enhancement and grid support through a solar energy conversion system, presents the fuzzy logic-based power quality assessments, and covers various power quality indices. The final chapters in the book present the recent advancements in the microgrids, applications of Internet of Things (IoT) for microgrids, the application of artificial intelligent techniques, modeling of green energy smart meter for microgrids, communication networks for microgrids, and other aspects of microgrid technologies. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of microgrids, this is a must-have for any library.
Book Synopsis Innovations in Non-intrusive Load Monitoring by : Andre Aboulian
Download or read book Innovations in Non-intrusive Load Monitoring written by Andre Aboulian and published by . This book was released on 2018 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A non-intrusive load monitor (NILM) measures power at a central point in an electrical system to monitor the operation of many connected loads. Non-contact power meters sense the electromagnetic fields surrounding a cable and reconstruct the currents in each conductor. This thesis presents a novel calibration method for determining the relationship between fields and currents for a new meter by using an existing meter elsewhere within the distribution network. A complex software pipeline captures, processes, and stores NILM data. Analysis tools are often not directly available to operators of mission-critical systems. An analytical and graphical platform is developed that provides diagnostic and prognostic information about equipment in real time to maintainers of electromechanical systems.
