Get Free Shipping on orders over $79
Spatio-Temporal Data Analytics for Wind Energy Integration : SpringerBriefs in Electrical and Computer Engineering - Lei Yang

Spatio-Temporal Data Analytics for Wind Energy Integration

By: Lei Yang, Miao He, Junshan Zhang, Vijay Vittal

eText | 14 November 2014

At a Glance

eText


$84.99

or 4 interest-free payments of $21.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable energy generation into bulk power grids. The operational challenges of wind, and its variability are carefully examined. A spatio-temporal analysis approach enables the authors to develop Markov-chain-based short-term forecasts of wind farm power generation. To deal with the wind ramp dynamics, a support vector machine enhanced Markov model is introduced. The stochastic optimization of economic dispatch (ED) and interruptible load management are investigated as well. Spatio-Temporal Data Analytics for Wind Energy Integration is valuable for researchers and professionals working towards renewable energy integration. Advanced-level students studying electrical, computer and energy engineering should also find the content useful.

on
Desktop
Tablet
Mobile

More in Data Mining

Investing for Programmers - Stefan Papp

eBOOK

Conquering the Decision Abyss - Keith Hartley

eBOOK

RRP $15.39

$14.99

Data Engineering for Data-Driven Marketing - Balamurugan Baluswamy

eBOOK

RRP $185.82

$157.99

15%
OFF