To access the DSS (Shakti), double-click on the SLDC HP icon on your Windows Desktop. A welcome screen as shown in the figure below will appear. This screen will stay for some time, but can be made to go away by clicking on the window.
You will be prompted to log in. Enter the User name and password in the window to continue.
User Name : ******
Password : ******
Server : ******
A window will appear on a successful log in. Click on Main in the menu bar and a drop down menu will appear. Click on financial year to choose the year applicable.
On clicking financial year a window as shown below will appear in which the current financial year can be chosen.
The following screen will appear. The following things can be seen in the screen.
1. Date and Revision No. of Drawal Schedule in force at the moment.
2. Drawal Schedule – Clicking on the button will take you to another screen where various revisions for the same day or previous days can be viewed.
3. Entitlement Schedules – Clicking on the button will take you to another screen where entitlement for the same day or previous days can be viewed.
4. Implemented Schedules – Clicking on the button will take you to a screen where the latest available Implemented schedules can be viewed.
5. GoHP Share Entitlement – Clicking on the button will take you to a different screen where GoHP entitlement in various projects can be calculated and viewed.
6. REA Comparison – Clicking on the button will take you to a different screen where GoHP share from various projects as reflected in the Implemented Schedule and All Transaction (Implemented) schedule are compared and displayed.
7. Day Ahead Schedule – Clicking on the button displays the day ahead for the current day and the previous days schedules can also be viewed.
Thus by using “Shakti” automation of the downloading, converting and report creation process has been facilitated, which in turn has made it convenient for the end user to focus on the important task of decision making and let the ICT handle the routine and error prone task of handling and processing the large amount of data.
Tuesday, November 27, 2007
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