The phrase "application of grid technology" is correct and usable in written English.
It can be used when discussing the implementation or use of grid technology in various fields such as computing, networking, or resource management.
Example: "The application of grid technology has revolutionized the way we process large datasets across multiple servers."
Alternatives: "utilization of grid technology" or "implementation of grid technology".
This first volume of the CoreGRID series addresses such vital issues as the architecture of the Grid, the way software will influence the development of the Grid, and the practical applications of Grid technologies for individuals and businesses alike.
Computing that takes advantage of grid technology can shorten computer time by many orders of magnitude.
Use of grid computing to meet public health needs has been increasingly explored as far as the maturity of grid technology allows it.
In recent years, much attention has been devoted to the development and applications of smart grid technologies, with special emphasis on flexible resources such as distributed generations (DGs), energy storages, active loads, and electric vehicles (EVs).
Large-scale implementation of smart grid technology would make it possible to accelerate this trend.
We examine two applications of grid intersections.
In general, the term smart grid is used to cover a large range of characteristics but all consider the electricity grid and the application of information technology see for example [23].
Digital vibration measurement is a practical application of computer technology, network technology and grid technology in the field of engineering vibration measurement.
As an alternative to deficit models (lack of acceptance or trust) and factor theories (causes for acceptance or trust), we introduce the application of functionalist methods [23] to the specific case of smart grid technologies for future energy provision.
Smart grids, that is, the application of communication technology, can help here by enabling better customer information, automated detection of unnecessary energy uses, and distributed optimisation of consumption processes.
