Nearly‐optimal control for energy, thermal, and storage loads with energy disaggregation monitoring: A case of residential management for the elderly

Autor: Christos Tsaknakis, Christos Korkas, Kalliopi Pippi, Christos Athanasiadis, Vasiliki Alexopoulou, Elias Kosmatopoulos, Vassilis C. Nikolaidis, Theofilos Papadopoulos

Publikováno v: IET Smart Cities, Vol 5, Iss 3, Pp 173-193 (2023)

Abstract The increase in the ageing of the population calls for advanced monitoring and actuation systems for the smart control and management of elderly households that should manage to optimise multi‐objective control problems. This study propose

Externí odkaz: https://doaj.org/article/2b3d2f6ff95e4227a456f3e92859328f

A Scalable Real-Time Non-Intrusive Load Monitoring System for the Estimation of Household Appliance Power Consumption

Autor: Christos Athanasiadis, Dimitrios Doukas, Theofilos Papadopoulos, Antonios Chrysopoulos

Publikováno v: Energies, Vol 14, Iss 3, p 767 (2021)

Smart-meter technology advancements have resulted in the generation of massive volumes of information introducing new opportunities for energy services and data-driven business models. One such service is non-intrusive load monitoring (NILM). NILM is

Externí odkaz: https://doaj.org/article/4716dd69ab6d4665846a2f7da10776de

HeartDIS: A Generalizable End-to-End Energy Disaggregation Pipeline

Autor: Baslis, Ilias Dimitriadis, Nikolaos Virtsionis Gkalinikis, Nikolaos Gkiouzelis, Athena Vakali, Christos Athanasiadis, Costas

Publikováno v: Energies; Volume 16; Issue 13; Pages: 5115

The need for a more energy-efficient future is now more evident than ever. Energy disagreggation (NILM) methodologies have been proposed as an effective solution for the reduction in energy consumption. However, there is a wide range of challenges th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::bba4e911ba5b3f42216a65a9a84446d0

eLearning: A Dataset for Affect-Driven Adaptation of Computer-Based Learning

Autor: Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis, Matteo Amestoy

Publikováno v: IEEE MultiMedia. 27:49-60

The use of recommendation systems has been extensively applied to different fields from the suggestion of multimedia content to other areas such as education. Thereof, the integration of affect-related information becomes a key factor to enhance the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::12647e2b9163d225c318b8b4730016a7
https://doi.org/10.1109/mmul.2019.2945716

Temporal conditional Wasserstein GANs for audio-visual affect-related ties

Autor: Christos Athanasiadis, Enrique Hortal, Stelios Asteriadis

Publikováno v: 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 1-8
STARTPAGE=1;ENDPAGE=8;TITLE=2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

Emotion recognition through audio is a rather challenging task that entails proper feature extraction and classification. Meanwhile, state-of-the-art classification strategies are usually based on deep learning architectures. Training complex deep le

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::446483f67525b11c1ac5fc2998ed64c2
https://doi.org/10.1109/aciiw52867.2021.9666277