Solar Power Forecasting Using Deep Learning Approach

T. Sana Amreen; Radharani Panigrahi; Nita R. Patne

doi:10.1007/978-981-99-4175-9_8

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Solar Power Forecasting Using Deep Learning Approach

T. Sana Amreen Radharani Panigrahi Nita R. Patne

Year: 2023 Advances in sustainability science and technology Pages: 83-93 Publisher: Springer Nature

DOI: 10.1007/978-981-99-4175-9_8

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Keywords:

Renewable energy Solar power Computer science Solar energy Artificial neural network Electricity generation Power (physics) Deep learning Convolutional neural network Artificial intelligence Reliability engineering Industrial engineering Engineering Electrical engineering

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Cited By

1.30

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Photovoltaic System Optimization Techniques

Physical Sciences → Energy → Renewable Energy, Sustainability and the Environment

Solar Power Forecasting Using Deep Learning Approach

Metrics

Citation History

Topics

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