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This paper proposes the use of Stacked Denoising Autoencoder to predict the direction of movement of stock indexes based on the historical and volume data of the underlying stocks. The Stacked Denoising Autoencoder is a deep learning method widely used in the field of computer vision which is capable of learning a compact feature representation of the data for stock index prediction. The Hybrid Gravitational...
This paper presents an improved method for capacitor placement in radial distribution feeders to reduce the real power loss and to improve the voltage profile. The location of the nodes where the capacitors should be placed is decided by a set of rules given by the fuzzy expert system. The sizing of the capacitors is modeled by the objective function to obtain maximum savings using Differential Evolution...
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