A dynamic multi-model transfer based short-term load forecasting
L Xiao, Q Bai, B Wang - Applied Soft Computing, 2024 - Elsevier
The integration of renewable energy sources in power systems has resulted in increased
complexity in dispatch management, necessitating higher accuracy in short-term load …
complexity in dispatch management, necessitating higher accuracy in short-term load …
Physics-Informed Transfer Learning for Process Control Applications
S Arce Munoz, J Pershing… - Industrial & Engineering …, 2024 - ACS Publications
Advancements in deep learning tools originally designed for natural language processing
are also applied to applications in the field of process control. Transformers, in particular …
are also applied to applications in the field of process control. Transformers, in particular …
Frequency-Enhanced Transformer with Symmetry-Based Lightweight Multi-Representation for Multivariate Time Series Forecasting
C Wang, Z Zhang, X Wang, M Liu, L Chen, J Pi - Symmetry, 2024 - mdpi.com
Transformer-based methods have recently demonstrated their potential in time series
forecasting problems. However, the mainstream approach, primarily utilizing attention to …
forecasting problems. However, the mainstream approach, primarily utilizing attention to …
Prediction of COVID-19 using procedures of transfer learning
SA Aliyeva - 2024 - dspace.khazar.org
The potential impact of these improvements and future directions on advancing the field of
COVID-19 prediction using transfer learning approaches in medical imaging is significant …
COVID-19 prediction using transfer learning approaches in medical imaging is significant …
Evaluating the Impact of Similarity Measures on Transfer Learning in Economic Time Series Analysis
KN Kynningsrud - 2024 - nmbu.brage.unit.no
This thesis investigated the impact of various similarity metrics on Transfer Learning
effectiveness in economic time series analysis. The complexity of economic data presents …
effectiveness in economic time series analysis. The complexity of economic data presents …
Prediction of Covid-19 Using Procedures of Transfer Learning
SA Ahsan - 2024 - search.proquest.com
The emergence of the COVID-19 pandemic, originating from the novel coronavirus
SARSCoV-2 in late 2019 in Wuhan, China, led to unprecedented global challenges for …
SARSCoV-2 in late 2019 in Wuhan, China, led to unprecedented global challenges for …