A completely new approach of power equipment modeling – modeling based on Complex-Valued Neural Networks (CVNN) – gives an opportunity to build a high-quality models which are able to track dynamics of grid devices.
There are many methods available in literature for prediction such as time series models, regression models, models based on Artificial Neural Network and Fuzzy logic.
This applies to elastic plastic models, models based on fracture mechanics (Bazant and Planas 1998) or combined models (Cervenka and Papanikolaou 2008).
Unlike the full model, models based only on the two personal belief variables do not account for the variability in predicting adaptation to climate change.
The possibility of testing grand unified models, models based on extra dimensions and string-M-theory models via their distinctive modes is investigated.
These include Calabi Yau models, grand unified models with Kac Moody levels k>1, a new class of heterotic string models, models based on intersecting D branes, and string landscape models.
In electricity market research, the major modelling methods include optimization model based, game equilibrium model based and simulation model based.
This paper contributes a feature-based framework for representing and reasoning about component similarity that builds on ontological modeling, model-based reasoning and cluster analysis techniques.
Rather than requiring companies to meet an average fuel-efficiency standard, balancing gas savers against gas guzzlers, he would assign targets model by model, based on factors like size and weight.
"They don't want to do it because they want to continue to build a business model based on the model they have".
In this section, the system model of CNSC-RAN is presented, including content request model, network model based on complex network, and content search model.
