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Now showing items 11-17 of 17
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 ...
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper conveys the importance of using suitable data visualizations for electrical energy consumption and the effect it carries on reducing said consumption. Data visualization tools construct an important pillar in ...
achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Excessive domestic energy usage is an impediment towards energy efficiency. Developing countries are expected to witness an unprecedented rise in domestic electricity in the forthcoming decades. a large amount of research ...
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 ...
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 ...
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 ...