id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fuen-189	Mishra, Sakshi; Frank, Stephen M. ; Petersen, Anya ; Buechler, Robert ; Slovensky, Michelle 	Deep-learning-based multi-timescale load forecasting in buildings: opportunities and challenges from research to deployment	2024	9	.pdf	application/pdf	6621	332	45	Deep learning, Recurrent neural networks, Long short-term memory, Building load forecasting, Grid-interactive efficient buildings, Smart grid *Corresponding author Email address: Sakshi.M@outlook.com DOI: 10.55670/fpll.fuen.3.4.3 A B S T R A C T Electricity load forecasting for buildings and campuses is becoming increasingly important as the penetration of distributed energy resources (DERs) grows. Building load forecasting is not a new research question; much research work in the literature has addressed this problem space	cache/fuen-189.pdf	txt/fuen-189.txt
