… Moreover, the form of load data in smart grid environment will … in smart grid environment is
an important research direction. … load classification in smart grid environment is established in …

… This article discusses the use of the DSM techniques in the smart grid environment and
presents a simulation of a data classifier generated by digital meters using an artificial neural …

… in the smart grid environment. However, … smart grid and analyze its characteristics. Then,
we present a review of the optimal load distribution models of MG in the smart grid environment, …

… focused on the impact of the grid integration of PHEVs/PEVs in a smart grid environment. …
PHEV/PEV enabled charging infrastructure in a smart grid environment. As shown in Fig. 2, the …

… There are methods to protect the privacy of data from smart meters in smart grid (SG)
environments, but they have their drawbacks, such as limiting the usefulness of the data or proving …

… Due to the complexity of smart grid environment, there are some certain degrees of incomplete
in electricity consumption data. The existing incomplete data processing methods can be …

… In this paper, the effect of applying DSM in the emerging smart grid and its corresponding …
within the area of demand side management in smart grid. Currently there is a lot of focus on …

… smart sensor devices. The chapter also discusses the importance of the induction motor
strategy during principal protection for either standard grid or smart grid environment… smart grids …

… of smart grid is unknown, not only because of the variety of configurations of the power grid
… Thus, in order to control this kind of LSNCS, or specifically speaking the smart grid, a robust …

… factors to realize these smart grid applications. Recently, ZigBee Smart Energy profile has
… price, energy consumption, and in smart grid environments. It is an open platform facilitating …