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2020 | OriginalPaper | Chapter

Effects of Activation Function and Input Function of ANN for Solar Power Forecasting

Authors : Isha, Akash Singh Chaudhary, D. K. Chaturvedi

Published in: Advances in Data and Information Sciences

Publisher: Springer Singapore

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Abstract

Artificial Neural Networks are being used in many applications and forecasting is one of such application where it solves the purpose like stock market predictions, sales forecasting, etc., over the past. In this paper, ANN models are used for forecasting solar power. Multilayer perceptron (MLP) neural network models have been tested for different combinations of transfer functions and net input function on different number of neurons and layers for forecasting solar power. The evaluation and implementation of models are being measured by mean square error.

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Metadata
Title
Effects of Activation Function and Input Function of ANN for Solar Power Forecasting
Authors
Isha
Akash Singh Chaudhary
D. K. Chaturvedi
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Data and Information Sciences

Print ISBN: 978-981-15-0693-2

Electronic ISBN: 978-981-15-0694-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-0694-9_31