Work

Short‐Term Wind Speed and Direction Forecasting by 3DCNN and Deep Convolutional LSTM

Year: 2022

Type: article

Source: IEEJ Transactions on Electrical and Electronic Engineering

DOI: 10.1002/tee.23669

Authors: Anggraini Puspita Sari, Hiroshi Suzuki, Takahiro Kitajima, Takashi Yasuno, Dwi Arman Prasetya, Rahman Arifuddin

Institutions: University of Pembangunan Nasional Veteran Jawa Timur, Tokushima University, Universitas Merdeka Malang

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4284895950

FWCI: 1.226

Cites: 15

Cited by: 27

Related to: 10