In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance

25 February 2023

Papers citing "In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance"

6 / 6 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 79 1 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 24 11 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 18 13 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 32 11 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 17 23 0 01 Mar 2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers Sotiris Pelekis Ioannis-Konstantinos Seisopoulos Evangelos Spiliotis Theodosios Pountridis Evangelos Karakolis S. Mouzakitis D. Askounis 23 16 0 23 Feb 2023