1 code implementation • 31 Mar 2024 • Chun Fu, Hussain Kazmi, Matias Quintana, Clayton Miller
Thus, the study proposes a conditional diffusion model for generating high-quality synthetic energy data using relevant metadata.
no code implementations • 29 Nov 2023 • Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker
Forecasting building energy consumption has become a promising solution in Building Energy Management Systems for energy saving and optimization.
no code implementations • 22 Feb 2023 • Hussain Kazmi, Pierre Pinson
Despite their growing popularity, data-driven models of real-world dynamical systems require lots of data.
no code implementations • 22 Sep 2022 • Maria Margarida Mascarenhas, Hussain Kazmi
The field of electricity price forecasting has seen significant advances in the last years, including the development of new, more accurate forecast models.
no code implementations • 10 May 2018 • Adam Nagy, Hussain Kazmi, Farah Cheaib, Johan Driesen
Classical methods to control heating systems are often marred by suboptimal performance, inability to adapt to dynamic conditions and unreasonable assumptions e. g. existence of building models.
no code implementations • 9 Mar 2018 • Hussain Kazmi, Johan Suykens, Johan Driesen
Results show that savings of over 40% are possible with collaborative multi-agent systems making use of either expert knowledge or additional sensors with no loss of occupant comfort.
no code implementations • 4 Jan 2018 • Hussain Kazmi, Fahad Mehmood, Stefan Lodeweyckx, Johan Driesen
Energy consumption for hot water production is a major draw in high efficiency buildings.