March 4, 2024, 5:43 a.m. | Costas Mylonas, Donata Boric, Leila Luttenberger Maric, Alexandros Tsitsanis, Eleftheria Petrianou, Magda Foti

cs.LG updates on arXiv.org arxiv.org

arXiv:2401.10726v2 Announce Type: replace-cross
Abstract: This study explores the crucial interplay between aggregators and building occupants in activating flexibility through Demand Response (DR) programs, with a keen focus on achieving robust decarbonization and fortifying the resilience of the energy system amidst the uncertainties presented by Renewable Energy Sources (RES). Firstly, it introduces a methodology of optimizing aggregated flexibility provision strategies in environments with limited data, utilizing Discrete Fourier Transformation (DFT) and clustering techniques to identify building occupant's activity patterns. Secondly, …

abstract arxiv building cs.lg cs.sy data data-driven demand eess.sy energy flexibility focus practical renewable resilience robust study through tools type

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Global Clinical Data Manager

@ Warner Bros. Discovery | CRI - San Jose - San Jose (City Place)

Global Clinical Data Manager

@ Warner Bros. Discovery | COL - Cundinamarca - Bogotá (Colpatria)

Ingénieur Data Manager / Pau

@ Capgemini | Paris, FR