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Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference)
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 ...
REHAB-C: Recommendations for Energy HABits Change
(
Elsevier
, 2020 , Article)
This paper introduces REHAB-C, a goal-based context-aware recommendation system that supports users in transforming their energy habits. A combination of smart sensors and actuators collects information about user actions ...
Building power consumption datasets: Survey, taxonomy and future directions
(
Elsevier
, 2020 , Article Review)
In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, ...
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
(
Elsevier
, 2020 , Article)
Providing the user with appliance-level consumption data is the core of each energy efficiency system. To that end, non-intrusive load monitoring is employed for extracting appliance specific consumption data at a low cost ...
Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
(
Elsevier
, 2020 , Article)
Recently, a growing interest has been dedicated towards developing and implementing low-cost energy efficiency solutions in buildings. Accordingly, non-intrusive load monitoring has been investigated in various academic ...
Deep and transfer learning for building occupancy detection: A review and comparative analysis
(
Elsevier
, 2022 , Article)
The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ...
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
(
Hindawi Limited
, 2017 , Article)
The last decade has witnessed tremendous efforts to shape the Internet of things (IoT) platforms to be well suited for healthcare applications. These platforms are comprised of a network of wireless sensors to monitor ...
Boosting domestic energy efficiency through accurate consumption data collection
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference)
Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ...
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
(
Springer
, 2020 , Article)
Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ...
Appliance-Level Monitoring with Micro-Moment Smart Plugs
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference)
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 ...







