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Journal Articles (Electrical and Computer Engineering)
Items in this Collection
- 9Musilek, Petr
- 8Mahdi Tavakoli
- 7Ning Lin, Venkata Dinavahi
- 7Shiqi Cao, Ning Lin, Venkata Dinavahi
- 7Tong Duan, Venkata Dinavahi
- 6Shengjun Huang, Venkata Dinavahi
- 6electrochemical anodization
- 3Microwaves
- 3blockchain
- 3distributed ledger technology
- 3machine learning
- 3microwave sensor
- 305Electrical and Computer Engineering, Department of
- 305Electrical and Computer Engineering, Department of/Journal Articles (Electrical and Computer Engineering)
- 3Oncology, Department of
- 3Oncology, Department of/Medical Physics
- 3Medicine and Dentistry, Faculty of
- 3Medicine and Dentistry, Faculty of/Journal Articles (Medicine and Dentistry)
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Short-Term Load Forecasting and Associated Weather Variables Prediction Using ResNet-LSTM Based Deep Learning
Download2023-01-01
X. Chen, W. Chen, V. Dinavahi, Y. Liu, J. Feng
Short-term load forecasting is mainly utilized in control centers to explore the changing patterns of consumer loads and predict the load value at a certain time in the future. It is one of the key technologies for the smart grid implementation. The load parameters are affected by...
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Stability and Intervehicle Distance Analysis of Vehicular Platoons: Highlighting the Impact of Bidirectional Communication Topologies
Download2024-02-18
Amir Zakerimanesh, Tony Z. Qiu, Mahdi Tavakoli
Vehicular platooning, a configuration comprising a leading vehicle and multiple follower vehicles (FVs) seeks to achieve and maintain specific intervehicle distances (IDs) while synchronizing FVs with the velocity and acceleration of the leading vehicle. Before attaining a desired stable state,...
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Step-by-Step mixture calculations for each time interval by sampling from joint distribution of wind speed (υ) and Solar radiation (s)
Download2024-02-26
Faridpak, Behdad, Musilek, Petr
Reduction of the calculation burden of probabilistic analyses arising from numerous uncertainties by utilizing a sequence of the inner approximation. A step-by-step approach is developed, defining the Lebesgue measure as the convergence criterion for the mixture of probability distributions