Athanasios Aris Panagopoulos
YOU?
Author Swipe
View article: Dealing with expected thermal discomfort
Dealing with expected thermal discomfort Open
Author(s): Panagopoulos, Athanasios Aris; Katsigiannis, Michail; Pritoni, Marco; Fierro, Gabriel; Lengyel, Daniel; Peffer, Therese; Chalkiadakis, Georgios; Culler, David
View article: A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons
A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons Open
Reliable, non-intrusive, short-term (of up to 12 hours ahead) prediction of a building's energy demand is a critical component of intelligent energy management applications. A number of such approaches have been proposed over time, utilizi…
View article: Sensitivity study using machine learning algorithms on simulated<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>r</mml:mi></mml:math>-mode gravitational wave signals from newborn neutron stars
Sensitivity study using machine learning algorithms on simulated-mode gravitational wave signals from newborn neutron stars Open
This is a follow-up sensitivity study on r-mode gravitational wave signals from newborn neutron stars illustrating the applicability of machine learning algorithms for the detection of long-lived gravitational-wave transients. In this sens…