Browsing by Author "Varlamis, Iraklis"
Now showing items 1-19 of 19
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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 ... -
A model for predicting room occupancy based on motion sensor data
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)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 ... -
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
( Elsevier , 2021 , Article)Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of ... -
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 ... -
Blockchain-based recommender systems: Applications, challenges and future opportunities
( Elsevier , 2022 , Article Review)Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the analysis and mining of massive amounts of ... -
Boosting domestic energy efficiency through accurate consumption data collection
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)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 ... -
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)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 ... -
Face Mask Detection in Smart Cities Using Deep and Transfer Learning: Lessons Learned from the COVID-19 Pandemic
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does not look to be ending soon for most countries across the world. To slow the spread of the COVID-19 virus, several measures have been ... -
"I want to ... Change": Micro-moment based recommendations can change users' energy habits
( SciTePress , 2019 , Conference)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 ... -
On the applicability of 2D local binary patterns for identifying electrical appliances in non-intrusive load monitoring
( Springer , 2021 , Conference)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 ... -
Real-time personalised energy saving recommendations
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)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 ... -
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 ... -
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference)The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy ... -
Smart energy usage and visualization based on micro-moments
( Springer Verlag , 2020 , Conference)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 ... -
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 ... -
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 ... -
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
( 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 ... -
The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving
( 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 ... -
Using big data and federated learning for generating energy efficiency recommendations
( 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 ...
