A Microcomputer Implementation Of An Intelligent Data Acquisition And Load Forecasting System

Saifur Rahman

doi:10.1117/12.968286

1 January 1987 A Microcomputer Implementation Of An Intelligent Data Acquisition And Load Forecasting System

Saifur Rahman

Proceedings Volume 0858, Signal Acquisition and Processing; (1987) https://doi.org/10.1117/12.968286
Event: IECON, Cambridge, 1987, Cambridge, MA, United States

Abstract

This paper reports on the hardware and the programming aspects of an intelligent data acquisition and load forecasting system that has been implemented on a desktop microcomputer. The objective was to develop a low cost and reliable system that would collect forecasted weather data, real-time electric utility load data, archive them, and issue an electric utility load forecast in 1-hour, 6-hour and upto 24-hour increments within a midnight-to-midnight time frame. Data are collected, over commercial telephone lines, from remote locations (often hundreds of miles apart), filtered and then processed. The archived data are used to form monthly summaries of hourly electric utility load (MW) and weather conditions in the area. A set of pre-selected rules are then applied on this database to develop the desired load forecast. All this work is done in a totally automated fashion, i.e., without any human intervention. The data acquisition and load forecasting system is based on an AT&T 3B2/300 UNIX based desktop microcomputer. The 3B2 serves as the "heart" of the system and performs the functions of data collection, processing, archiving, load forecasting and display. It is a multi-tasking, multi-user machine and at it's present configuration can support four users and a "super user", or system manager.

Citation Download Citation

Saifur Rahman "A Microcomputer Implementation Of An Intelligent Data Acquisition And Load Forecasting System", Proc. SPIE 0858, Signal Acquisition and Processing, (1 January 1987); https://doi.org/10.1117/12.968286

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available