Abstract: Hydro generation scheduling is a nonlinear programming problem. This paper describes the hydro generation scheduling problem constraints. The optimal hydro scheduling problem is formulated as a large scale linear programming algorithm and is solved using a commercially available linear programming package. The selected objective function requires minimization of demand and generation of a hydro system. This paper also proposes Differential Evolution (DE) algorithm to solve the nonlinear optimization problem for hydro generation scheduling. The feasibility of the proposed method is demonstrated for the daily generation scheduling of a hydro system.

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9536
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Abstract: Brain Computing Interface (BCI) provides the direct link between brain and computer device. People do not need any muscle movement. Brain states can be detected and translated into actions. Two basic requirements of brain and computing interface are the features useful to distinguish several kinds of brain states and methods for classification of signals.BCI have three types: invasive, partially invasive and noninvasive BCI, but non invasive is a safe technique.EEG is the most popular non invasive technique. After acquisition of signals, the feature extraction and classification methods are performed. These methods will play the main role in BCI system's output. If the misclassification is performed, then the error or wrong command will generate. Currently we have so many methods available for the classification like Linear discriminate analysis (LDA), Support vector machine (SVM), multiple layer perception (MLP), bayes quaderatic etc. but there are many challenges and issues in BCIs.

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9539
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