symbolic dynamic models for highly varying power system loads

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5.2 Recommendations
The following are some recommendations for the future work in this area:
• A multidimensional symbolic dynamic dictionary can be used to represent
different parameters together. For example, a symbol in this new concept may
represent the value of current, voltage, and frequency in one particular state.
Another possibility is the use of derivative information in the symbolic dynamic
dictionary.
• Frequency domain parameters might be added to the time domain analysis shown
in this thesis. For example, some frequency components of load current may be
used as model states.
• Validity of the proposed model can be checked by implementing it on the
historical data set of other varying loads such as a steel rolling mill.
• Alternative methods of discretizing a signal can be considered to eliminate the
difficulties associated with shifting and scaling the signal.
• State estimation techniques for the bad data rejection can be implemented while
forecasting the future value of load current.
• The model can be modified to apply in load forecasting.
• To improve the performance of the model for the power conditioning application,
coding of the model in some other programming languages should be considered.
• The model can be used in designing a microprocessor controlled active power
filter.
• Because Symbolic Dynamics makes no use of a physical load model, and it does
not utilize frequency domain information, consideration should be given to the