Open Access. Powered by Scholars. Published by Universities.®
Navigation, Guidance, Control, and Dynamics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Aerospace Engineering (1)
- Business (1)
- Chemical Engineering (1)
- Civil and Environmental Engineering (1)
- Computer Sciences (1)
-
- Data Science (1)
- Databases and Information Systems (1)
- Dynamical Systems (1)
- Electrical and Computer Engineering (1)
- Energy Systems (1)
- Energy and Utilities Law (1)
- Environmental Engineering (1)
- Environmental Law (1)
- Environmental Sciences (1)
- Environmental Studies (1)
- Law (1)
- Longitudinal Data Analysis and Time Series (1)
- Mathematics (1)
- Mechanical Engineering (1)
- Multi-Vehicle Systems and Air Traffic Control (1)
- Navigation, Guidance, Control and Dynamics (1)
- Oil, Gas, and Energy (1)
- Oil, Gas, and Mineral Law (1)
- Other Computer Sciences (1)
- Other Electrical and Computer Engineering (1)
- Other Environmental Sciences (1)
- Other Mathematics (1)
- Publication
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Navigation, Guidance, Control, and Dynamics
Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury
Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury
Dissertations
The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …
Improving Quality Of Life Using Ict, Iot And Ai (Honet), Charles Koduru
Improving Quality Of Life Using Ict, Iot And Ai (Honet), Charles Koduru
Symposium of Student Scholars
Autonomous robots can be assigned with various tasks such as moving payload, analyzing terrain, and capturing data in an environment. For an Autonomous Mobile Robot (AMR) to execute such tasks the robot (Hussarion ROSbot) will require efficient algorithms and techniques to reference its current location. The robot is relative to surrounding obstacles in its predetermined path. The conducted research study explains the coordinated method used to successfully allow a robot to identify its position in the environment (Gazebo Simulation) and avoid obstructions with increasing velocity - contingent on nearby surroundings. The results show multiple robots individually tasked with distinct roles, …