Harnessing AI for solar energy: Emergence of transformer models

MF Hanif, J Mi - Applied Energy, 2024 - Elsevier
This review emphasizes the critical need for accurate integration of solar energy into power
grids. It meticulously examines the advancements in transformer models for solar …

Intriguing Equivalence Structures of the Embedding Space of Vision Transformers

S Salman, MMB Shams, X Liu - arXiv preprint arXiv:2401.15568, 2024 - arxiv.org
Pre-trained large foundation models play a central role in the recent surge of artificial
intelligence, resulting in fine-tuned models with remarkable abilities when measured on …

Challenges of Personal Image Retrieval and Organization: An Academic Perspective

AK Nath, FB Emdad, AIA Wang - International Conference on Information, 2024 - Springer
With the increasing number of smartphone devices and social media platforms, many users
now have large personal image collections. As these collections expand, the task of …

Monthly Renewable Energy Forecasting Based on Multi-Model Fusion Techniques

Y Yang, P Xie, Y Liu, Q Lu - 2024 6th International Conference …, 2024 - ieeexplore.ieee.org
This paper introduces a novel approach to fore-casting renewable energy outputs by
employing a model fusion methodology that integrates four predictive algorithms: ARIMA …

Application of Artificial Intelligence for Detecting Power Distribution System Faults and Power Quality Disturbances

MM Islam - 2023 - diginole.lib.fsu.edu
Modern power distribution grid has become very complex, especially with the integration of
distributed renewable resources and many electronic power devices. Maintaining power …