Learning based short term wind speed forecasting models for smart grid applications: An extensive review and case study
This paper provides an extensive review of learning-based short-term forecasting models for
smart grid applications. In addition to this, the paper also explores forecasting models …
smart grid applications. In addition to this, the paper also explores forecasting models …
Machine learning-driven 3D printing: A review
X Zhang, D Chu, X Zhao, C Gao, L Lu, Y He… - Applied Materials …, 2024 - Elsevier
Abstract In recent years, Addit. Manuf.(AM, ie 3D printing) has been developing rapidly as a
much-needed strategic technology in the field of high-end intelligent manufacturing …
much-needed strategic technology in the field of high-end intelligent manufacturing …
More effective and efficient exploration via more refined gradient information
X Chen, JW Liu - Applied Intelligence, 2023 - Springer
Exploration is a crucial component of reinforcement learning. Although many works employ
random noise to explore, few have employed exploration based on action gradients. The …
random noise to explore, few have employed exploration based on action gradients. The …