Editor(s): Griffin, Cheryl; Xu, Zhao; Fan, Zhun. Num Pages: 110 pages. BIC Classification: TH. Category: (G) General (US: Trade). Dimension: 236 x 157 x 11. Weight in Grams: 332. . 2014. Hardcover. . . . .

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Bibliographic Details

Title: Evolutionary Computing for Intelligent Power System Optimization and Control
Publisher: Nova Science Publishers
Publication Date: 2014
ISBN 10: 1617280313
ISBN 13: 9781617280313
Binding: Hardcover
Condition: New

About this title

Synopsis

The changing climate and increasing atmospheric greenhouse gas (GHG) concentrations are projected to accelerate multiple threats, including more severe storms, droughts, and heat waves, further sea level rise, more frequent and severe storm surge damage, and acidification of the oceans. Beyond the sorts of gradual changes we have already experienced, global warming raises additional threats of large-scale changes, either changes to the global climate system, such as the disappearance of late-summer Arctic sea ice and the melting of large glacial ice sheets, or ecosystem impacts of climate change, such as critical endangerment or extinction of a large number of species. This book examines the cost of delaying policy actions to stem climate change.

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