A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers

23 February 2023

Papers citing "A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers"

5 / 5 papers shown

Title
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Sotiris Pelekis Evangelos Karakolis G. Lampropoulos S. Mouzakitis Ourania Markaki Christos Ntanos D. Askounis 62 0 0 25 Nov 2024
Data-driven building energy efficiency prediction using physics-informed neural networks Vasilis Michalakopoulos Sotiris Pelekis Giorgos Kormpakis Vagelis Karakolis S. Mouzakitis D. Askounis AI4CE 12 9 0 14 Nov 2023
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series Alexandros-Menelaos Tzortzis Sotiris Pelekis Evangelos Spiliotis S. Mouzakitis J. Psarras D. Askounis AI4TS 11 11 0 24 Oct 2023
DeepTSF: Codeless machine learning operations for time series forecasting Sotiris Pelekis Evangelos Karakolis Theodosios Pountridis Georgios Kormpakis G. Lampropoulos S. Mouzakitis D. Askounis AI4TS AI4CE 8 9 0 28 Jul 2023
Targeted demand response for flexible energy communities using clustering techniques Sotiris Pelekis Angelos Pipergias Evangelos Karakolis S. Mouzakitis F. Santori M. Ghoreishi D. Askounis 9 22 0 01 Mar 2023