Bus Single‐Trip Time Prediction Based on Ensemble Learning
H Huang, L Huang, R Song, F Jiao… - Computational …, 2022 - Wiley Online Library
The prediction of bus single‐trip time is essential for passenger travel decision‐making and
bus scheduling. Since many factors could influence bus operations, the accurate prediction …
bus scheduling. Since many factors could influence bus operations, the accurate prediction …
Intrusion detection in cluster‐based wireless sensor networks: Current issues, opportunities and future research directions
Wireless sensor network (WSN) cluster‐based architecture is a system designed to control
and monitor specific events or phenomena remotely, and one of the important concerns that …
and monitor specific events or phenomena remotely, and one of the important concerns that …
Dynamic Aggregation Method for Load Aggregators Considering Users' Deviation Electricity
L Li, X Dou, H Yang, Y Fu, J Yu, X Huo, C Pang - Electronics, 2024 - mdpi.com
Constructing a new energy-based power system is not only an important direction for the
transformation and upgrade of China's power system, but also a key to achieving peak …
transformation and upgrade of China's power system, but also a key to achieving peak …
Day ahead load forecasting using random forest method with meteorological variables
This paper focuses on short-term load forecasting for the day ahead using an Ensemble
learning-based Random Forest method. The study uses real-time hourly load data and …
learning-based Random Forest method. The study uses real-time hourly load data and …
Sustainable Solar-Powered EV Charging System Design Using Machine Learning, DC Fast Charging, and an Intelligent DMPPT Optimization Technique
A Balal - 2023 - ttu-ir.tdl.org
The increasing demand for electric vehicles (EVs) necessitates the development of efficient
and sustainable charging infrastructure. This dissertation presents a comprehensive …
and sustainable charging infrastructure. This dissertation presents a comprehensive …
The Pattern and Visualization Detection of the Load Profile Data Based on Bootstrap Approach
This work presents an in-depth analysis of load profile data utilizing the bootstrap method,
emphasizing the importance of data management and visualization in electricity …
emphasizing the importance of data management and visualization in electricity …
Robot quadrupedi neuro ispirati in terreni non strutturati: dalla locomozione all'esplorazione mediante i dati
S Taffara - 2023 - tesidottorato.depositolegale.it
This PhD thesis aims to analyze research topics related to neural-inspired solutions for
robotic locomotion in order to provide new tools and answers to a series of still open …
robotic locomotion in order to provide new tools and answers to a series of still open …
[PDF][PDF] Broad View of Computational Statistics
R Li, F Yan - The Frontiers of Society, Science and Technology, 2022 - francis-press.com
The emergence of computational statistics could be identified as the second statistical
revolution. From this point, the development of statistics depends on the advancement of …
revolution. From this point, the development of statistics depends on the advancement of …