HRM 3440 Chapter Notes - Chapter 4: Electric Car, Austin Energy, Smart Grid
23 May 2018
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HRM 3440 Chapter 4 Notes – Summary
Introduction
• Poliy akers a deterie whether the outry’s eergy supply is eig osued
wisely and, in times of crisis, can make decisions that maintain essential systems.
• Austin Energy is sold on the idea that information empowers.
• The second phase of its initiative, Smart Grid 2.0, extends its reach into the homes and
businesses of its consumers.
• Using smart appliances and smart thermostats, Austin Energy can assist consumers in
learning how to best consume energy within their domain.
• Austin Energy is even looking at ways to use electric car batteries as a household backup
power supply.
• An electric car charging in the garage could reverse its current to provide five hours of
electricity to the home during power failures.
• By analyzing energy consumption in a highly detailed fashion, smart grids can assist the
country in squeezing the most usefulness out of every watt produced.
• Austin Energy found that it saved 660 megawatts of electricity in its first month using
Aeria’s first sart grid.
Expert Systems Development Tools and Techniques
• Theoretically, expert systems can be developed from any programming language.
• Since the introduction of computer systems, programming languages have become
easier to use, more powerful, and better able to handle specialized requirements.
• In the early days of expert systems development, traditional high-level languages,
including Pascal, FORTRAN, and COBOL, were used, as shown
• LISP was one of the first special languages developed and used for artificial intelligence
applications.
• PROLOG was also developed for AI applications.
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