[HTML][HTML] A Double Optimum New Solution Method Based on EVA and Knapsack
Optimizing resource allocation often requires a trade-off between multiple objectives. Since
projects must be fully implemented or not at all, this issue is modeled as an integer …
projects must be fully implemented or not at all, this issue is modeled as an integer …
Efficient economic energy scheduling in smart cities using distributed energy resources
Machine learning provides a powerful mechanism to enhance the capabilities of the next
generation of smart cities. Whether healthcare monitoring, building automation, energy …
generation of smart cities. Whether healthcare monitoring, building automation, energy …
Optimizing intelligent startup strategy of power system using PPO algorithm
Y Sun, Y Wu, Y Wu, K Liang… - Intelligent Decision …, 2024 - content.iospress.com
This article aimed to use the proximal policy optimization (PPO) algorithm to address the
limitations of power system startup strategies, to enhance the adaptability, coping ability, and …
limitations of power system startup strategies, to enhance the adaptability, coping ability, and …
[PDF][PDF] Enhancing artificial neural network performance for energy efficiency in laboratories through PCA
A Ismail, R Fadli - researchgate.net
This study investigates energy efficiency challenges during laboratory activities. Inefficient
energy use in the practicum phase remains a critical issue, prompting the exploration of …
energy use in the practicum phase remains a critical issue, prompting the exploration of …