Beyond PCA for modeling financial time-series
Dmitry Malioutov
GlobalSIP 2013
Power systems are on the cusp of a rapid technological, economic and environmental evolution. Classical problems must naturally adapt to new requirements taking into account enormous growth in the number of distributed generation plants. Physical and computational constraints within the new landscape must be revisited. In this paper, we focus on the generator scheduling problem in smart grid incorporating the novel constraints of transmission line capacity limits and policy to provide a more comprehensive view for planning in the smart grid. Given the mammoth size of the power networks, we propose a computationally efficient partition-based scheduling scheme. A case study based on IEEE 300 bus test system shows the advantage of the proposed scheme. © 2013 IEEE.
Dmitry Malioutov
GlobalSIP 2013
Zakia Asad, Mohammad Asad Rehman Chaudhry, et al.
IEEE Trans Ind Electron
Karthikeyan Natesan Ramamurthy, Kush R. Varshney, et al.
GlobalSIP 2013
Christos Boutsidis, Dmitry Malioutov
GlobalSIP 2013