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Day-Ahead Solar Power Forecasting Using LightGBM and Self-Attention Based Encoder-Decoder Networks

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Year: 2024
Type: article
Source: IEEE Transactions on Sustainable Energy
DOI: 10.1109/tste.2024.3486907
Authors: Hossein Nourollahi Hokmabad, Oleksandr Husev, Juri Belikov
Institution: Tallinn University of Technology
Language: English

Topic: Solar Radiation and Photovoltaics
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: closed

Funder: Eesti Teadusagentuur
Awards: New Generation of High-Performance Power Electronic Converters Simultaneously Applicable for DC and AC Grids with Extended Functionalities, Modeling and control of Low-INErtia Systems (LINES)
OpenAlex ID: W4403826880
FWCI: 2.799
Cites: 44
Cited by: 19
Related to: 10
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