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Cloud energy micro-moment data classification: A platform study
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Energy efficiency is a crucial factor in the wellbeing of our planet. In parallel, Machine Learning (ML) plays an instrumental role in automating our lives and creating convenient workflows for enhancing behavior. So, ...
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
(
Elsevier
, 2020 , Article)
Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy ...
Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization
(
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 ...
Boosting domestic energy efficiency through accurate consumption data collection
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
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 ...
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 ...
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
(
Elsevier
, 2022 , Article)
Despite the variety of sensors that can be used in a smart home or office setup, for monitoring energy consumption and assisting users to save energy, their usefulness is limited when they are not properly integrated into ...
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 ...
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 ...
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 ...
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 ...