"Machine Learning Approaches to Non-Intrusive Load Monitoring"

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Book	Author(s)	Year	Publisher
Machine Learning Approaches to Non-Intrusive Load Monitoring	Roberto Bonfigli; Stefano Squartini	1st ed. 2020	Springer International Publishing
Non-intrusive Load Monitoring: Theory, Technologies and Applications	Hui Liu	1st ed. 2020	Springer Nature Singapore
Machine learning approaches to bioinformatics	Yang Z.R.	2010	WS
Statistical Reinforcement Learning: Modern Machine Learning Approaches	Masashi Sugiyama	2015	Routledge
Structural Health Monitoring - A Machine Learning Perspective	Charles R. Farrar	2012	John Wiley & Sons
Machine Learning Approaches for Urban Computing	Mainak Bandyopadhyay; Minakhi Rout; Suresh Chandra Satapathy	1st ed. 2021	Springer Nature Singapore
Machine Learning and Non-volatile Memories	Rino Micheloni; Cristian Zambelli	1st ed. 2022	Springer International Publishing
Machine Learning and Statistical Modeling Approaches to Image Retrieval	Yixin Chen; Jia Li; James Z. Wang	2004	Springer US
Machine Learning Approaches in Cyber Security Analytics	Tony Thomas; Athira P. Vijayaraghavan; Sabu Emmanuel	1st ed. 2020	Springer Nature Singapore
Machine learning and knowledge acquisition: integrated approaches /	Tecuci, Gheorghe.; Kodratoff, Yves.	[1995], ©1995.	Academic Press,
Machine Vision Inspection Systems, Volume 2 - Machine Learning-Based Approaches	Muthukumaran Malarvel; Soumya Ranjan Nayak; Prasant Kumar Pattnaik; Surya Narayan Panda	2021	John Wiley & Sons
Machine Learning for Solar Array Monitoring, Optimization, and Control	Sunil Rao; Sameeksha Katoch; Vivek Narayanaswamy; Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias		Springer International Publishing
Approaches to learning	Ann S. Epstein	2012	Highscope Press
Scaling up Machine Learning: Parallel and Distributed Approaches	Ron Bekkerman; Mikhail Bilenko; John Langford	2011-12	Cambridge University Press
Statistical and Machine Learning Approaches for Network Analysis	Matthias Dehmer; Subhash C. Basak	2012	John Wiley & Sons
Biological Pattern Discovery With R: Machine Learning Approaches	Zheng Rong Yang	2021	World Scientific Publishing
Hybrid Approaches to Machine Translation	Marta R. Costa-jussà; Reinhard Rapp; Patrik Lambert; Kurt Eberle; Rafael E. Banchs; Bogdan Babych	1st ed. 2016	Springer International Publishing
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation	Masashi Sugiyama; Motoaki Kawanabe	2012	MIT Press
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation	Masashi Sugiyama; Motoaki Kawanabe	2012	The MIT Press
Introduction to Machine Learning	Ethem Alpaydin	2010	MIT Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Non-intrusive Load Monitoring	Roberto Bonfigli; Stefano Squartini	Machine Learning Approaches to Non-Intrusive Load Monitoring	Roberto Bonfigli; Stefano Squartini	1st ed. 2020	Springer International Publishing
A Review on Non-intrusive Load Monitoring Approaches Based on Machine Learning	Hajer Salem; Moamar Sayed-Mouchaweh; Moncef Tagina	Artificial Intelligence Techniques for a Scalable Energy Transition: Advanced Methods, Digital Technologies, Decision Support Tools, and Applications	Moamar Sayed-Mouchaweh	1st ed. 2020	Springer International Publishing
Evolving Non-Intrusive Load Monitoring	Dominik Egarter; Anita Sobe; Wilfried Elmenreich	Applications of Evolutionary Computing: 16th European Conference, EvoApplications 2013, Vienna, Austria, April 3-5, 2013, Proceedings	Anna I. Esparcia-Alcázar	2013	Springer Berlin Heidelberg
SmartM: A Non-intrusive Load Monitoring Platform	Xiufeng Liu; Simon Bolwig; Per Sieverts Nielsen	Business Information Systems Workshops: BIS 2019 International Workshops, Seville, Spain, June 26–28, 2019, Revised Papers	Witold Abramowicz; Rafael Corchuelo	1st ed. 2019	Springer International Publishing
Smart Meter Based Non-intrusive Load Disaggregation and Load Monitoring	Tarik Hubana; Elma Begić	Advanced Technologies, Systems, and Applications VI: Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (IAT) 2021	Naida Ademović; Edin Mujčić; Zlatan Akšamija; Jasmin Kevrić; Samir Avdaković; Ismar Volić	1st ed. 2022	Springer International Publishing
LSTM-Based Reinforcement Q Learning Model for Non Intrusive Load Monitoring	Kalthoum Zaouali; Mohamed Lassaad Ammari; Ridha Bouallegue	Advanced Information Networking and Applications: Proceedings of the 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Volume 3	Leonard Barolli; Farookh Hussain; Tomoya Enokido	1st ed. 2022	Springer International Publishing
A Non‐Event Based Approach for Non‐Intrusive Load Monitoring		Wireless Automation as an Enabler for the Next Industrial Revolution	Muhammad A. Imran; Sajjad Hussain; Qammer H. Abbasi	2020	Wiley-IEEE Press
A Semi-supervised and Online Learning Approach for Non-Intrusive Load Monitoring	Hajer Salem; Moamar Sayed-Mouchaweh	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III	Ulf Brefeld; Elisa Fromont; Andreas Hotho; Arno Knobbe; Marloes Maathuis; Céline Robardet	1st ed. 2020	Springer International Publishing
Appliance Water Disaggregation via Non-intrusive Load Monitoring (NILM)	Bradley Ellert; Stephen Makonin; Fred Popowich	Smart City 360°: First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers	Alberto Leon-Garcia; Radim Lenort; David Holman; David Staš; Veronika Krutilova; Pavel Wicher; Dagmar Cagáňová; Daniela Špirková; Julius Golej; Kim Nguyen	1st ed. 2016	Springer International Publishing
Boosting Learning: Non-intrusive Monitoring of Student’s Efficiency	Sérgio Gonçalves; Manuel Rodrigues; Davide Carneiro; Florentino Fdez-Riverola; Paulo Novais	Methodologies and Intelligent Systems for Technology Enhanced Learning	Tania Di Mascio; Rosella Gennari; Pierpaolo Vittorini; Fernando De la Prieta	2015	Springer International Publishing
Approaches to Machine Learning		Mining of massive datasets	Leskovec J., Rajaraman A., Ullman J.D	2014	Hachette Romans
An Intelligent Algorithm for Non-Intrusive Appliance Load Monitoring System	Jieh-Ren Chang; Hung-Chi Juang; Chi-Hsiang Lo	Future Information Technology	James J. (Jong Hyuk) Park; Yi Pan; Cheon-Shik Kim; Yun Yang	2014	Springer Berlin Heidelberg
Non Intrusive Load Monitoring (NILM): A State of the Art	Jorge Revuelta Herrero; Álvaro Lozano Murciego; Alberto López Barriuso; Daniel Hernández de la Iglesia; Gabriel Villarrubia González; Juan Manuel Corchado Rodríguez et al.	Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017	Fernando De la Prieta; Zita Vale; Luis Antunes; Tiago Pinto; Andrew T. Campbell; Vicente Julián; Antonio J.R. Neves; María N. Moreno	1st ed. 2018	Springer International Publishing
121 Machine Learning Approaches in Patient Monitoring		Tele-Healthcare: Applications of Artificial Intelligence and Soft Computing Techniques	R. Nidhya (editor), Manish Kumar (editor), S. Balamurugan (editor)	2022	Wiley-Scrivener
Machine Learning Approaches	Walter Daelemans	Syntactic Wordclass Tagging	H. van Halteren	1999	Springer Netherlands
Machine Learning Approaches	Deepak Venugopal; Max Garzon	Dimensionality Reduction in Data Science	Max Garzon; Ching-Chi Yang; Deepak Venugopal; Nirman Kumar; Kalidas Jana; Lih-Yuan Deng	1st ed. 2022	Springer International Publishing
Machine learning approaches		Machine Learning Theory to Applications: Theory to Applications	Seyedeh Leili Mirtaheri, Reza Shahbazian	2022	CRC Press
Machine Learning Approaches		Latent Semantic Mapping: Principles And Applications (Synthesis Lectures on Speech and Audio Processing)	Jerome R. Bellegarda	2008	Morgan & Claypool Publishers
Machine Learning Approaches		Bioinformatics: Proceedings of the 4th Asia-Pacific Conference, Taipei, Taiwan 13-16 February, 2006 (Series on Advances in Bioinformatics and Computational Biology)	Tao Jiang, Ueng-Cheng Yang, Yi-Ping Phoebe Chen, Limsoon Wong	2006	Imperial College Press
Intrusive vs Non-Intrusive		Principles of Computer Security: CompTIA Security+ and Beyond (Exam SY0-601)	Wm. Arthur Conklin, Greg White, Chuck Cothren, Roger Davis, Dwayne Williams	2021	McGraw Hill
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