AIMC Topic: Renewable Energy

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Prediction of power generation and rotor angular speed of a small wind turbine equipped to a controllable duct using artificial neural network and multiple linear regression.

Environmental research Nov 6, 2020
Wind power is one of the most popular sources of renewable energies with an ideal extractable value that is limited to 0.593 known as the Betz-Joukowsky limit. As the generated power of wind machines is proportional to cubic wind speed, therefore it ...
Neural Networks, Computer Linear Models Renewable Energy
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Metacognitive Octonion-Valued Neural Networks as They Relate to Time Series Analysis.

IEEE transactions on neural networks and learning systems Apr 12, 2019
In this paper, a metacognitive octonion-valued neural network (Mc-OVNN) learning algorithm and its application to diverse time series prediction are presented. The Mc-OVNN is comprised of two components: the octonion-valued neural network that repres...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Forecasting Cognition Economics Petroleum Renewable Energy
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Application of artificial neural networks to co-combustion of hazelnut husk-lignite coal blends.

Bioresource technology Oct 8, 2015
The artificial neural network (ANN) theory is applied to thermal data obtained by non-isothermal thermogravimetric analysis (TGA) from room temperature to 1000°C at different heating rates in air to study co-combustion of hazelnut husk (HH)-lignite c...
Neural Networks, Computer Temperature Coal Thermogravimetry Corylus Renewable Energy
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