STAGE 1: Demographic projection The first phase of the model consists on the projection of the population up to 2071.
In the qualitative phase of the model identification, EDFM identifies the variables relevant to the process; i.e. the subset of variables, within a given window width, that provides the best forecasting, following the parsimony criterion.
In this designed ferrite cementite steel, the third "phase" of the model represents finite intermediate "layers" in ferrite due to large geometrically necessary dislocation (GND) densities around cementite particles.
Through evaluation, if the skill of the selected trainees is at satisfactory level then necessary suggestions and guidelines can be provided to them so that they can take initiatives to set up small business enterprises, the next phase of the model.
Absolute fraction of variance, absolute percentage error and root mean square error of 0.94, 11.52 and 14.48, respectively in training phase and 0.92, 15.89 and 23.69, respectively in testing phase of the model were achieved showing the relatively high accuracy of the proposed ANFIS model.
The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network.
