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Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization
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Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Accrediting the fast economic growth and the enhancement of people's live standards, the overall household's energy consumption is becoming more and more substantial. Thus, the need of conserving energy is becoming a ...
Appliance-Level Monitoring with Micro-Moment Smart Plugs
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry ...
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Identifying domestic appliances in the smart grid leads to a better power usage management and further helps in detecting appliance-level abnormalities. An efficient identification can be achieved only if a robust feature ...
Efficient multi-descriptor fusion for non-intrusive appliance recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Consciousness about power consumption at the appliance level can assist user in promoting energy efficiency in households. In this paper, a superior non-intrusive appliance recognition method that can provide particular ...
Real-time personalised energy saving recommendations
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The increased consumption of energy worldwide has boosted the interest of people for energy-efficient solutions at every level of daily life, from goods production and transportation to the use of household and office ...
A model for predicting room occupancy based on motion sensor data
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
When designing a large scale IoT ecosystem, it is important to provide economical solutions at all levels, from sensors and actuators to the software used for analytics and orchestration. It is of equal importance to provide ...
Improving In-Home Appliance Identification Using Fuzzy-Neighbors-Preserving Analysis Based QR-Decomposition
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
This paper proposes a new appliance identification scheme by introducing a novel approach for extracting highly discriminative characteristic sets that can considerably distinguish between various appliance footprints. In ...
Smart energy usage and visualization based on micro-moments
(
Springer Verlag
, 2020 , Conference Paper)
Due to global energy demands and overwhelming environmental dilemmas, exorbitant domestic energy usage is a colossal barrier towards energy efficiency. Tremendous research efforts have been poured into a plethora of methods ...
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy ...
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem ...