Work

Enhancing ultra short-term wind power prediction accuracy with feature-based CNN-LSTM models: A comparative study

Year: 2026

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy

DOI: 10.1177/09576509261460133

Authors: Orkun Teke, Tolga Depci

Institutions: Manisa Celal Bayar University, İskenderun Technical University

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

OpenAlex ID: W7165047564

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Cites: 72

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