Here’s a sample of IEEE e-books that focus on technologies for responding to disasters. All are available free to members from the IEEE eBook Classics collection. To view the e-books, log in to IEEE Xplore using your IEEE member Web account. (Make sure to sign out of your institutional account first, if you’re using one.) Click on Books in the left-hand navigation menu, then click on the Classics tab to browse the titles. Once you find a book you’re interested in, click on the title to go to its home page, which has an abstract, a bibliography, the table of contents, and the cover image.
Maintaining Mission-Critical Systems in a 24/7 Environment
By Peter M. Curtis (2011)
A guide on how to operate and maintain mission-critical equipment and systems during an emergency based on the expertise and first-hand experience of the author. It’s meant to help architects, building engineers, and IT professionals customize information to their organizations’ needs, and offers tips on eliminating costly downtime. The author also provides emergency action plans and recommendations, with an emphasis on green technologies for power supplies, such as battery systems, and data-center cooling systems.
Power System Control and Stability
By Paul M. Anderson and A.A. Fouad (2003)
Provides readers with the nuts and bolts of interconnected power systems, covering their numerous components and how they operate normally and during disturbances. The material is geared toward the engineer working in the electric power industry, as well as to students studying power systems’ dynamic behavior. It also has mathematical models of system components and uses computational tools to analyze system behaviors.
Next Generation of Data-Mining Applications
Edited by Mehmed Kantardzic and Jozef Zurada (2005)
Offers a host of techniques for analyzing large amounts of raw data so as to connect key pieces of information. The material highlights discoveries that can be made to, for example, detect and prevent a possible emergency. The book is a collective effort by an international team of 80 experts and discusses data-mining applications from multiple points of view.