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Investigating the Factors That Influence the Ridership of Light Rail Transit Systems Using Thematic Analysis of Academic Literature
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Switched Auto-Regressive Neural Control (S-ANC) for Energy Management of Hybrid Microgrids
1. Introduction Model predictive control (MPC) is a control approach that is widely utilized in many industries, including chemical, electrical, and mechanical engineering. It is well-suited to microgrids (MGs) because it deals with restrictions and optimizes performance over time [1,2,3,4,5]. MPC entails formulating and solving an optimization problem at each time step, to determine the optimal control inputs for the next step.
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