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A methodology for the systematic certification of different activities related to the transaction of Demand Response resources has been developed and it is presented here.
A day-ahead scheduling (DAS) algorithm for dispatching different resources has been developed in previous studies to determine the optimal operation scheduling for the distributed energy resources at each time interval so that the operational cost of a smart house is minimized.
A suite of genomic resources has been developed for this species, including genetic maps and ESTs.
In this regard an ever increasing repertoire of marker and sequence resources has been developed for barley which can be efficiently utilized [ 24- 26].
A wealth of resources has been developed as a result of collaborative efforts, including bioinformatics tools, sequence and expression databases, and designer animals (for an extensive review of available resources, see [ 86]).
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Rice is a model plant species for which many genetic and genomic resources have been developed.
Several online resources have been developed recently to overcome common knowledge translation barriers.
However, limited DNA marker resources have been developed and used for this species.
Many technical solutions to support design, authoring and use of learning activities and resources have been developed.
It is on the basis of outputs from such genetic diversity and evaluation studies that most of the Oryza genomic resources have been developed.
Several educational resources have been developed to demonstrate the significance of genetic drift or natural selection (see McComas 1998; Staub 2002; Heim 2002; Young and Young 2003).
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