Search
Now showing items 11-20 of 26
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 ...
Intelligent Edge-Based Recommender System for Internet of Energy Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Preserving energy in households and office buildings is a significant challenge, mainly due to the recent shortage of energy resources, the uprising of the current environmental problems, and the global lack of utilizing ...
A Micro-Moment System for Domestic Energy Efficiency Analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Domestic user behavior is a crucial factor guiding overall power consumption, necessitating the development of systems that analyze and help shape energy-efficient behavior. Therefore, the most important step in the process ...
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 ...
Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions
(
John Wiley and Sons Ltd
, 2022 , Article)
Smart nonintrusive load monitoring (NILM) represents a cost-efficient technology for observing power usage in buildings. It tackles several challenges in transitioning into a more effective, sustainable, and digital energy ...
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 ...
IoT-based mock oxygenator for extracorporeal membrane oxygenation simulator
(
John Wiley and Sons Inc
, 2022 , Article)
Background: Training is an essential aspect of providing high-quality treatment and ensuring patient safety in any medical practice. Because extracorporeal membrane oxygenation (ECMO) is a complicated operation with various ...
A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Medical simulators, employed in extracorporeal membrane oxygenation (ECMO), are burdened with costly equipment and low-fidelity methodologies. This dichotomy necessitated a new approach that eliminates high-costs and ...
Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
(
Elsevier
, 2022 , Article)
Energy efficiency based on behavioral change has attracted increasing interest in recent years, although, solutions in this area lack much needed techno-economic analysis. That is due to the absence of both prospective ...
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 ...