| Name | Data Type | Description | 
|---|---|---|
| parameter_name  | VARCHAR2(32) | The name of the parameter. Required. | 
| parameter_value_1 | VARCHAR2(64) | Required parameter value. | 
| parameter_value_2 | VARCHAR2(64) | Optional parameter value. | 
| parameter_value_3 | VARCHAR2(64) | Optional parameter value. | 
| Parameter | Description | 
|---|---|
| sourceDBServiceName | Sets the database service name, server name, and port details for the forecast updates table.  •	parameter_value_1: server name. The default value is DB. •	parameter_value_2: port number. •	parameter_value_3: database service name. | 
| operationalService | Sets whether the adapter is running on the operational service network or the enterprise service network. •	parameter_value_1: Yes | No •	Yes: operational service network •	No: the enterprise service network | 
| useSqlLoader | Sets whether to use SQL Loader or NMS Import to load the data into NMS tables.  •	parameter_value_1: Yes | No •	Yes: SQL Loader •	No: NMS Import or other process | 
| forecastDir | The directory containing the forecast CSV file. | 
| numDataCol | Define rule to specify the number of columns in raw CSV  | 
| dermsColumnMap | Defines the CSV columns. •	parameter_value_1: column name. •	parameter_value_2: column number.  	The column numbering starts with 0, which is the first column in the table. The standard configuration is defined as follows: •	Column 0 = ForecastDate (mm/dd/yyyy HH24:MI:SS) •	Column 1 = ResourceName •	Column 2 = PowerSourceType •	Column 3 = ForecastValue | 
| headerPresent | Sets whether the CSV file has a header row or not.  •	parameter_value_1: Yes | No | 
| forecastnumDataCol | Define rule to specify the number of columns in External Load and Gen CSV file | 
| forecastColumnMap | Defines the CSV columns for External Load and Gen CSV file •	parameter_value_1: column name. •	parameter_value_2: column number. 	The column numbering starts with 0, which is the first column in the table. 	The standard configuration is defined as follows: •	Column 0 = ForecastDate (mm/ •	dd/yyyy HH24:MI:SS) •	Column 1 = ResourceName •	Column 2 = ForecastSource •	Column 3 = Forecastobject •	Column 4 = ForecastkW •	Column 5 = ForecastkVAR |