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The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Among the large number of efforts that study the role of technology in energy saving, there exists, first, frameworks for monitoring and controlling energy consumption in households, second, systems that suggest best ...
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
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John Wiley and Sons Ltd
, 2021 , Article)
The recent advances in artificial intelligence namely in machine learning and deep learning, have boosted the performance of intelligent systems in several ways. This gave rise to human expectations, but also created the ...
Using big data and federated learning for generating energy efficiency recommendations
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Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
Internet of Things (IoT) devices are becoming popular solutions for smart home and office environments and contribute the most to energy efficiency. The most common implementation of such solutions relies on smart home ...
On the applicability of 2D local binary patterns for identifying electrical appliances in non-intrusive load monitoring
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Springer
, 2021 , Conference Paper)
In recent years, the automatic identification of electrical devices through their power consumption signals finds a variety of applications in smart home monitoring and non-intrusive load monitoring (NILM). This work ...
Boosting domestic energy efficiency through accurate consumption data collection
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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 ...
A Micro-Moment System for Domestic Energy Efficiency Analysis
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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 ...
"I want to ... Change": Micro-moment based recommendations can change users' energy habits
(
SciTePress
, 2019 , Conference Paper)
Since electricity consumption of households in developing countries is dramatically increasing every year, it is now more prudent than ever to utilize technology-based solutions that assist energy end-users to improve ...
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
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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 ...
Real-time personalised energy saving recommendations
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The increased consumption of energy worldwide has boosted the interest of people for energy-efficient solutions at every level of daily life, from goods production and transportation to the use of household and office ...
A model for predicting room occupancy based on motion sensor data
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
When designing a large scale IoT ecosystem, it is important to provide economical solutions at all levels, from sensors and actuators to the software used for analytics and orchestration. It is of equal importance to provide ...