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P. Deepa Shenoy - IEEE Xplore Author Profile

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Author details

P. Deepa Shenoy

Also published under: Pradeep Shenoy, P. Shenoy

Publications

77

Citations

898

Publications by Year

20022024

Co-Authors:

Gagan A. G.Bijil A. P.Akash AgarwalK. M. AkshobhyaM. Amrutha

Show All Co-Authors (130)

P. Deepa Shenoy

Also published under: Pradeep Shenoy, P. Shenoy

Affiliation

Department of CSE

UVCE

Bengaluru University, Bengaluru, India

Publication Topics

Machine Learning,
Support Vector Machine,
Confusion Matrix,
Learning Algorithms,
Machine Learning Models,
Word Embedding,
Random Forest,
Sentiment Analysis,
Convolutional Neural Network,
Data Pre-processing,
Deep Learning,
Deep Learning Models

Biography

Pradeep Shenoy received the Master's degree in computer science from the University of Washington, Seattle, in 2004.,His research interests include the application of machine learning techniques to the understanding of EEG and ECoG signals, with an emphasis on applications in brain–computer interfaces.(Based on document published on 17 December 2007).

Publications

77

Citations

898

Publications by Year

20022024

Co-Authors:

Gagan A. G.
Bijil A. P.
Akash Agarwal
K. M. Akshobhya
M. Amrutha

Show All Co-Authors (130)

Author's Published Works

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Showing 1-25 of 835 resultsfor "Index Terms":Residential Monitoring

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A Mobile Personal Residential Electricity Dashboard

Mark Apperley;Jishaal Kalyan

2015 19th International Conference on Information Visualisation

Year: 2015 | Conference Paper |

Cited by: Papers (3)

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The growing use of smart electricity meters means that real-time information relating to residential electricity consumption is readily available. The globally recognized need to manage and improve the efficiency of our use of electricity, and the need in most jurisdictions to increase the integration and utilization of non-dispatchable renewable energy sources, provides a strong motivation for in...Show More

A Mobile Personal Residential Electricity Dashboard

Mark Apperley;Jishaal Kalyan

2015 19th International Conference on Information Visualisation

Year: 2015 | Conference Paper |

Residential Electricity Consumption Behavior Analysis and Energy Management Based on NILM

Lingxia Lu;Ju-Song Kang;Baohui Han;Hongbo Li;Zhejing Bao;Miao Yu

2024 6th Asia Energy and Electrical Engineering Symposium (AEEES)

Year: 2024 | Conference Paper |

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Non-intrusive load monitoring (NILM) technology can obtain detailed residential electricity load data and provide data support for smart home energy management. Based on the non-intrusive load data set, this paper performs analysis on the electricity consumption data of all electrical equipment, calculates residents' electrical appliance usage duration, usage frequency, and electricity consumption...Show More

Residential Electricity Consumption Behavior Analysis and Energy Management Based on NILM

Lingxia Lu;Ju-Song Kang;Baohui Han;Hongbo Li;Zhejing Bao;Miao Yu

2024 6th Asia Energy and Electrical Engineering Symposium (AEEES)

Year: 2024 | Conference Paper |

A Comparative Study of Three Feedback Devices for Residential Real-Time Energy Monitoring

Mahmoud A. Alahmad;Patrick G. Wheeler;Avery Schwer;Joshua Eiden;Adam Brumbaugh

IEEE Transactions on Industrial Electronics

Year: 2012 | Volume: 59, Issue: 4 | Journal Article |

Cited by: Papers (90)

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Residential energy consumption accounts for 21% of the total electricity use in the United States. Unfortunately, research indicates that almost 41% of this power is wasted. Changing the way that consumers use energy may be important in reducing home energy consumption. This paper looks at whether the implementation of certain real-time energy monitors has an impact on the residential rate of ener...Show More

A Comparative Study of Three Feedback Devices for Residential Real-Time Energy Monitoring

Mahmoud A. Alahmad;Patrick G. Wheeler;Avery Schwer;Joshua Eiden;Adam Brumbaugh

IEEE Transactions on Industrial Electronics

Year: 2012 | Volume: 59, Issue: 4 | Journal Article |

SwarmCity Project: Can an Aerial Swarm Monitor Traffic in a Smart City?

Juan Jesús Roldán;Pablo Garcia-Aunon;Elena Peña-Tapia;Antonio Barrientos

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Year: 2019 | Conference Paper |

Cited by: Papers (13)

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Smart Cities have emerged as a strategy to solve problems that current cities face, such as traffic, resource management, waste, pollution, etc. Most of the Smart City proposals are based on placing sensors in fixed locations of the city or, at the most, in public transportation systems. These strategies can produce blind zones, given that the sensors are fixed or their movement cannot be controll...Show More

SwarmCity Project: Can an Aerial Swarm Monitor Traffic in a Smart City?

Juan Jesús Roldán;Pablo Garcia-Aunon;Elena Peña-Tapia;Antonio Barrientos

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Year: 2019 | Conference Paper |

Simulated Unobtrusive Falls Detection With Multiple Persons

Arni Ariani;Stephen J. Redmond;David Chang;Nigel H. Lovell

IEEE Transactions on Biomedical Engineering

Year: 2012 | Volume: 59, Issue: 11 | Journal Article |

Cited by: Papers (29)

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One serious issue related to falls among the elderly living at home or in a residential care facility is the “long lie” scenario, which involves being unable to get up from the floor after a fall for 60 min or more. This research uses a simulated environment to investigate the potential effectiveness of using wireless ambient sensors (dual-technology (microwave/infrared) motion detectors and press...Show More

Simulated Unobtrusive Falls Detection With Multiple Persons

Arni Ariani;Stephen J. Redmond;David Chang;Nigel H. Lovell

IEEE Transactions on Biomedical Engineering

Year: 2012 | Volume: 59, Issue: 11 | Journal Article |

Liquid level monitoring using passive RFID tags

A. Atojoko;M Bin-Melha;E Elkazmi;M. Usman;R. A. Abd-Alhameed;C. H. See

2013 8th IEEE Design and Test Symposium

Year: 2013 | Conference Paper |

Cited by: Papers (1)

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Tank flooding have become major causes of pollution both in residential and industrial areas majorly caused by overflows of water(mostly residential) and volatile poisonous industrial liquids from the storage tanks. An effective way of avoiding this problem will be by deploying some mechanism to monitor liquid level at each point in time and escalating unusual liquid levelsto a pump control circui...Show More

Liquid level monitoring using passive RFID tags

A. Atojoko;M Bin-Melha;E Elkazmi;M. Usman;R. A. Abd-Alhameed;C. H. See

2013 8th IEEE Design and Test Symposium

Year: 2013 | Conference Paper |

Neural Network Pattern Recognition Based Non-intrusive Load Monitoring for a Residential Energy Management System

Chenyi Zhou;Song Liu;Peng Liu

2016 3rd International Conference on Information Science and Control Engineering (ICISCE)

Year: 2016 | Conference Paper |

Cited by: Papers (18)

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Detailed energy consumption information of household appliance is meaningful for the demand side management (DSM) and home energy conservation. In this paper, a novel non-intrusive load monitoring (NILM) method is proposed for residential energy management systems(REMS). Unlike existing NILM techniques, this method works effectively with very few smart meter measurement parameters obtained at a lo...Show More

Neural Network Pattern Recognition Based Non-intrusive Load Monitoring for a Residential Energy Management System

Chenyi Zhou;Song Liu;Peng Liu

2016 3rd International Conference on Information Science and Control Engineering (ICISCE)

Year: 2016 | Conference Paper |

The Real Time Railway Monitoring System suitable for Multi-View Object based on Sensor Stream Data Tracking

Abbos Abduvaytov;Rakhimov Mukhammad Abdu Kayumbek;Heung Seok Jeon;Ryumduck Oh

2020 International Conference on Information Science and Communications Technologies (ICISCT)

Year: 2020 | Conference Paper |

Cited by: Papers (5)

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A glance on the developments of the railway safety system reveals that the consistent research has made a remarkable progresses finding and devising techniques to alleviate noise and vibration resulting from wheel and rail interaction alongside the railway track infrastructure. Internet of Things (IOT) and AI has an immense potential to provide safety and operation efficiency in railroad bridges, ...Show More

The Real Time Railway Monitoring System suitable for Multi-View Object based on Sensor Stream Data Tracking

Abbos Abduvaytov;Rakhimov Mukhammad Abdu Kayumbek;Heung Seok Jeon;Ryumduck Oh

2020 International Conference on Information Science and Communications Technologies (ICISCT)

Year: 2020 | Conference Paper |

Development of a low-cost IoT device using ESP8266 and Atmega328 for real-time monitoring of Outdoor Air Quality with Alert

Praveen Kumar Malik;Angel Swastik Duggal;Srinivas Aluvala;Rajidi Sahithi;Geetanjali;Anita Gehlot

2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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Identifying pollution sources, assessing their effects on human health and the environment, and developing plans to enhance air quality are all made possible by the practice of air quality monitoring, which is crucial to understanding and managing air pollution. The main project's objective is to develop an economical method of monitoring and alerting of outside air quality in real time. The syste...Show More

Development of a low-cost IoT device using ESP8266 and Atmega328 for real-time monitoring of Outdoor Air Quality with Alert

Praveen Kumar Malik;Angel Swastik Duggal;Srinivas Aluvala;Rajidi Sahithi;Geetanjali;Anita Gehlot

2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE)

Year: 2023 | Conference Paper |

Residential Electricity Consumption in Free State Townships: Unravelling the Pandemic Effect

Renier Oosthuizen;Nicolaas Luwes;Roshan Pillay

2024 IEEE PES/IAS PowerAfrica

Year: 2024 | Conference Paper |

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The COVID-19 pandemic significantly impacted global electricity consumption patterns, particularly in residential sectors. Such disruptive events, though rare, can lead to unexpected shifts in demand profiles, affecting network planning and design. This study investigates the changes in electricity demand profiles in low-income townships in the Free State, South Africa, during the pandemic. Data f...Show More

Residential Electricity Consumption in Free State Townships: Unravelling the Pandemic Effect

Renier Oosthuizen;Nicolaas Luwes;Roshan Pillay

2024 IEEE PES/IAS PowerAfrica

Year: 2024 | Conference Paper |

Low-Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring

Elisa Spanò;Stefano Di Pascoli;Giuseppe Iannaccone

IEEE Sensors Journal

Year: 2016 | Volume: 16, Issue: 13 | Journal Article |

Cited by: Papers (188)

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Many devices and solutions for remote electrocardiogram (ECG) monitoring have been proposed in the literature. These solutions typically have a large marginal cost per added sensor and are not seamlessly integrated with other smart home solutions. Here, we propose an ECG remote monitoring system that is dedicated to non-technical users in need of long-term health monitoring in residential environm...Show More

Low-Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring

Elisa Spanò;Stefano Di Pascoli;Giuseppe Iannaccone

IEEE Sensors Journal

Year: 2016 | Volume: 16, Issue: 13 | Journal Article |

Clustering of harmonic monitoring data using data mining

D. Sutanto;A. Asheibi;D. Strirling

Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010

Year: 2010 | Conference Paper |

Cited by: Papers (1)

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A comprehensive harmonic monitoring program has been designed and implemented on a typical medium-voltage distribution system in Australia. The monitoring program involved measurements of the three-phase harmonic currents and voltages from the residential, commercial, and industrial load sectors. Data over a three year period have been downloaded and available for analysis. The large amount of acq...Show More

Clustering of harmonic monitoring data using data mining

D. Sutanto;A. Asheibi;D. Strirling

Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010

Year: 2010 | Conference Paper |

Monitoring Health Status in Long Term Care Through the Use of Ambient Technologies and Serious Games

Andrea Wilkinson;Tiffany Tong;Atefeh Zare;Marc Kanik;Mark Chignell

IEEE Journal of Biomedical and Health Informatics

Year: 2018 | Volume: 22, Issue: 6 | Journal Article |

Cited by: Papers (19)

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New technologies, such as serious games and ambient activities, are being developed to address problems of under-stimulation, anxiety, and agitation in millions of people living with dementia in long term care homes. Frequent interactions with instrumented versions of these technologies may not only be beneficial for long term care residents, but may also provide a valuable new set of multifaceted...Show More

Monitoring Health Status in Long Term Care Through the Use of Ambient Technologies and Serious Games

Andrea Wilkinson;Tiffany Tong;Atefeh Zare;Marc Kanik;Mark Chignell

IEEE Journal of Biomedical and Health Informatics

Year: 2018 | Volume: 22, Issue: 6 | Journal Article |

Challenges Associated with Standardization of NILM Methodology

Barkha Parkash;Shafiqur Rahman Tito;M Daud Ahmed;Attique Ur Rehman;Pieter Nieuwoudt;Snjezana Soltic;Tek Tjing Lie;Neel Pandey

2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC)

Year: 2022 | Conference Paper |

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The massive technological development has led us to an ever-increasing dependency on electricity in recent times. This reliance leads us to prepare a comprehensive electricity consumption plan. However, consumers find it challenging to optimize energy usage due to the lack of suitable tools and technologies and heavy dependence on traditional practice patterns. They can greatly benefit from monito...Show More

Challenges Associated with Standardization of NILM Methodology

Barkha Parkash;Shafiqur Rahman Tito;M Daud Ahmed;Attique Ur Rehman;Pieter Nieuwoudt;Snjezana Soltic;Tek Tjing Lie;Neel Pandey

2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC)

Year: 2022 | Conference Paper |

Air and noise pollution monitoring in the city of Zagreb by using mobile crowdsensing

Martina Marjanović;Sanja Grubeša;Ivana Podnar Žarko

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

Year: 2017 | Conference Paper |

Cited by: Papers (29)

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The rapid progress of urbanization is leading to serious air and noise pollution. Therefore, significant research effort is focused on creating a fine-grained pollution and noise maps to identify urban areas with critical negative impact on human health. The traditional measuring methods typically use expensive and static equipment which is not suitable for dynamic urban environments because of th...Show More

Air and noise pollution monitoring in the city of Zagreb by using mobile crowdsensing

Martina Marjanović;Sanja Grubeša;Ivana Podnar Žarko

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

Year: 2017 | Conference Paper |

Power Consumption Monitoring System for Personal Computers by Analyzing Their Operating States

E. Hirao;S. Miyamoto;M. Hasegawa;H. Harada

2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing

Year: 2005 | Conference Paper |

Cited by: Papers (5) | Patents (1)

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We focused on reducing the power consumption of information and communication technology (ICT products as an effective measure because power consumption has expanded rapidly as these products have spread through offices and homes. We consider that a low motivation to save power is one reason preventing reduction in the power consumption of these products. Therefore we developed a system that monit...Show More

Power Consumption Monitoring System for Personal Computers by Analyzing Their Operating States

E. Hirao;S. Miyamoto;M. Hasegawa;H. Harada

2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing

Year: 2005 | Conference Paper |

Continuous EMF Monitoring as an Emergency and Disaster Detection Tool

Nikola Djuric;Dragan Kljajic;Vidak Otasevic;Snezana Djuric

2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)

Year: 2022 | Conference Paper |

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A number of applications founded on electromagnetic field (EMF) has increased, since wireless personal communication devices are used by a large number of people. Simultaneously, the controversy about adverse health effects of EMF exposure is in a focus of the public debate. Thus, there are constant demands for comprehensive investigation and monitoring of existing exposure to EMF. In last decade,...Show More

Continuous EMF Monitoring as an Emergency and Disaster Detection Tool

Nikola Djuric;Dragan Kljajic;Vidak Otasevic;Snezana Djuric

2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)

Year: 2022 | Conference Paper |

Intellectual Air Quality Monitoring System Based on Arduino Uno

Ivan Rudavskyi;Halyna Klym

2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)

Year: 2023 | Conference Paper |

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An intelligent air quality monitoring system, based on the versatile and widely-used Arduino Uno microcontroller, has been designed and developed as the foundational platform. The system was subjected to testing procedures to verify its compliance with the specified requirements. Furthermore, experiments were carried out in contrasting areas of a house to create datasets for various air quality in...Show More

Intellectual Air Quality Monitoring System Based on Arduino Uno

Ivan Rudavskyi;Halyna Klym

2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)

Year: 2023 | Volume: 1 | Conference Paper |

IoT-Based Smart Energy Monitoring and Energy Demand Response System

Muzahidul Islam;Nohori Jobaida;Md Shakhawat Hossain;Mohammad Rejwan Uddin;Mahady Hasan

2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES)

Year: 2024 | Conference Paper |

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Electricity usage has increased, resulting in substantial reliance on it, necessitating the monitoring and evaluation of electrical infrastructure in residential and commercial structures. This study focuses on the residential sector, where customers waste a significant amount of power, roughly. Through changes in lifestyle and habits, the deployment of a home energy monitoring system has the pote...Show More

IoT-Based Smart Energy Monitoring and Energy Demand Response System

Muzahidul Islam;Nohori Jobaida;Md Shakhawat Hossain;Mohammad Rejwan Uddin;Mahady Hasan

2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES)

Year: 2024 | Conference Paper |

An Enhanced Substation Load Monitoring System via the Data Sharing Center

Shi Zhu;Jianhui Wang;Bin Fang;Haozhi Li;Yao Xiao

2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

Year: 2024 | Conference Paper |

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Load monitoring is a critical component of the operation of an electrical power system. However, in practical applications, the granularity of monitoring systems is often limited to the substation level, lacking accurate perception of the electricity load of lower-level users. This limitation results in monitoring systems being unable to proactively intervene with high-load users at the lower leve...Show More

An Enhanced Substation Load Monitoring System via the Data Sharing Center

Shi Zhu;Jianhui Wang;Bin Fang;Haozhi Li;Yao Xiao

2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

Year: 2024 | Volume: 7 | Conference Paper |

A WSN Based Framework for Human Health Monitoring

K. Janani;V. R. Sarma Dhulipala;R. M. Chandrasekaran

2011 International Conference on Devices and Communications (ICDeCom)

Year: 2011 | Conference Paper |

Cited by: Papers (7)

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Wireless Sensor Networks (WSN) is neoteric progressing technology which addresses solutions to critical application environments. It allows the assimilation of medical sensors to form a group scenario which makes it feasible to remotely collect and communicate the physiological signals of a patient, thus preventing the patient from being tied to a particular set of monitoring medical instruments a...Show More

A WSN Based Framework for Human Health Monitoring

K. Janani;V. R. Sarma Dhulipala;R. M. Chandrasekaran

2011 International Conference on Devices and Communications (ICDeCom)

Year: 2011 | Conference Paper |

An Analysis of Customer Power Profile Events for Non-invasive Energy Meter Error Monitoring

Žilvinas Nakutis;Stefano Rinaldi;Pranas Kuzas;Robertas Lukočius

2019 IEEE 10th International Workshop on Applied Measurements for Power Systems (AMPS)

Year: 2019 | Conference Paper |

Cited by: Papers (4)

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In this paper, a statistical analysis of low voltage customers' load power profiles is carried out aiming to suggest a remote non-invasive energy meter error monitoring technique. The synthesized open access 1 s resolution load power profiles are used for the analysis. A detection procedure for power steps in a sampled load power profile is defined. Power steps are classified into overlapping and ...Show More

An Analysis of Customer Power Profile Events for Non-invasive Energy Meter Error Monitoring

Žilvinas Nakutis;Stefano Rinaldi;Pranas Kuzas;Robertas Lukočius

2019 IEEE 10th International Workshop on Applied Measurements for Power Systems (AMPS)

Year: 2019 | Conference Paper |

A survey of distribution feeder power quality

A. C. Wang;C. N. Lu

2005 IEEE Russia Power Tech

Year: 2005 | Conference Paper |

Cited by: Papers (4)

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Due to the growing use of sensitive equipment, the power quality (PQ) requirements are becoming much stricter. Many of the equipment malfunctions are due to various PQ problems. Before the mitigations of PQ problems are decided, a monitoring system should be setup to find out the causes of PQ problems. In this study a voltage quality monitoring system was setup in order to understand the power ser...Show More

A survey of distribution feeder power quality

A. C. Wang;C. N. Lu

2005 IEEE Russia Power Tech

Year: 2005 | Conference Paper |

Monitoring of Air Pollution in Skopje in order to Determine Possible Causes

Vladimir Mijakovski;Monika Lutovska

2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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Brief review of few major air pollutants of Skopje is presented in this article. State automatic monitoring system for ambient air quality measures up to 7 air pollutants is presented. It consists of network of 17 fixed and 1 mobile monitoring stations installed throughout the country. Performed analysis of pollutants' inventory reveals that suspended particles (PM10 and PM2.5) are the most critic...Show More

Monitoring of Air Pollution in Skopje in order to Determine Possible Causes

Vladimir Mijakovski;Monika Lutovska

2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)

Year: 2020 | Conference Paper |

Real-Time Non-Intrusive Load Monitoring System for Residential Appliance Identification

Nimantha Madhushan;Rasanjalee Rathnayake;Dhanushika Darshani;Uditha Wijewardhana;Nishan Dharmaweera

2024 4th International Conference on Advanced Research in Computing (ICARC)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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Non-intrusive load monitoring (NILM) has developed as a prominent and intriguing topic in energy management recently. Even though a variety of NILM-based solutions have been proposed, a commercial-grade universal solution has not yet been established. Event detection and appliance identification algorithms have inherent critical limitations; therefore, this paper provides a novel real-time identif...Show More

Real-Time Non-Intrusive Load Monitoring System for Residential Appliance Identification

Nimantha Madhushan;Rasanjalee Rathnayake;Dhanushika Darshani;Uditha Wijewardhana;Nishan Dharmaweera

2024 4th International Conference on Advanced Research in Computing (ICARC)

Year: 2024 | Conference Paper |

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