Renewable Energy Scenario Generation with Controllable Features Using Configurable Deep Convolutional Generative Adversarial Network

Iranian Journal of Science and Technology Transactions of Electrical Engineering 2026

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Authors: Mahesh Pal Singh, Nabangshu Sinha, Nidul Sinha
DOI: 10.1007/s40998-025-00961-9
Cited by: 1
References: 38

Fields of Study & Subjects

Energy Load and Power Forecasting Wind Energy Research and Development Wind Turbine Control Systems

Publication details

Journal / source
Iranian Journal of Science and Technology Transactions of Electrical Engineering
Publisher
Springer Science and Business Media LLC
Volume
50
Issue
3
Pages
2199-2218
Publication date
14 February 2026
Language
EN