General Settings (click for more info) Effective Time Settings (click for more info) Training Hourly Intervals (click for more info) Input Data Items (click for more info) Tuning Parameters (click for more info)

Configuring Neural Network Template Settings

Use the Neural Network Template Settings dialog box to configure the settings for the selected neural network template.

To Configure Neural Network Template Settings

  1. Click the Neural Nets page of the ELF Editor.
  2. Add a New Child or New Sibling, or double-click to Edit a configured template.
  3. Configure the settings using the properties described below.

Neural Network Template Settings

Neural Network Template Settings

The properties on the Neural Network Template Settings dialog box are described below.

General Settings

Parameter Description

Service

Specifies the CVS where the neural network template facilities are maintained.

Template ID

Specifies the unique Facility ID of the neural network template.

Desc

Specifies a Description associated with neural network template.

Effective Time Settings

Specify the time interval for which this neural network template is applicable.

Parameter Description

Start

Select Unbounded or select a specific start time. Click to set a Start Hour for the effective time for the neural network template from the Choose Date and Time dialog box.

End

Select Unbounded or select a specific end time. Click to set an End Hour for the effective time for the neural network template from the Choose Date and Time dialog box.

Training Hourly Intervals

The table lists the historic training intervals in the past over which all historical data, gas load as well as input data, must exist in order to execute the training process for this neural network template. Training intervals may be specified as a fixed interval or for a time interval that is relative to the current time. Also configurable is the selection method for the historical data used for training.

Column or Button Name Description

Start Time

Specifies the start time of the training hourly interval.

End Time

Specifies the end time of the training hourly interval.

Selection Method

Specifies the quantity and selection method for choosing the subset of historical data used for training. See Configuring Training Interval Settings.

Add

Click to add a new training hourly interval. See Configuring Training Interval Settings.

Edit

Click to edit an existing training hourly interval. See Configuring Training Interval Settings.

Del

Click to delete an existing training hourly interval.

Input Data Items

The table lists the input data items required to both train the neural network and generate load forecasts (once the template is associated with a specific meter or meter group and becomes a definition) for this neural network template.

Column or Button Name Description

Input Category

Specifies the Input Item Categories to be used as inputs to this neural network. Options include: Input Category Item, Calendar, and Gas Load.

Record Owners

Specifies the Record Owner or Record Owners Group IDs whose data items will be used as inputs to this neural network.

Input Items

Specifies the Input Data Item type(s) associated with each Input Data Item to be used as inputs to this neural network.

Add Input Items

To add an Input Item click Add Input Item and select the desired Input Data Item: Input Data Item, Calendar Item or Gas Load Item. See Configuring Input Data Items.

Edit

Select an Input Data Item and click Edit to modify its properties. See Configuring Input Data Items.

Del

Click Del to delete an Input Data Item.

Tuning Parameters

Click Tuning Parameters to specify necessary tuning parameters required by the neural network training algorithm for this neural network template. See Configuring Tuning Parameters.


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