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Kinetic modeling of microalgae growth and CO2 bio-fixation using central composite design statistical approach
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Elsevier B.V.
, 2020 , Article)
The optimum growth (μ), CO2 bio-fixation (RCO2) rates and the energy ratio (ER) of microalgae Chlorella vulgaris (C.v) were identified using central composite design statistical approach (CCD-SA). μ and RCO2 parameters ...
Reinforcement learning-based school energy management system
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MDPI AG
, 2020 , Article)
Energy efficiency is a key to reduced carbon footprint, savings on energy bills, and sustainability for future generations. For instance, in hot climate countries such as Qatar, buildings are high energy consumers due to ...
An Energy-Efficient Resource Allocation Scheme for SWIPT-NOMA Based Femtocells Users with Imperfect CSI
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
In this paper, we propose, an energy-efficient resource allocation scheme for simultaneous wireless information and power transfer (SWIPT)-Non-orthogonal multiple access (NOMA) based femtocell users with imperfect channel ...
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
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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 ...
REHAB-C: Recommendations for Energy HABits Change
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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 ...
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
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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
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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
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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 ...