Work

Adaptive Stacking ensemble model driven by multi-source data fusion for energy consumption prediction in forging production line

Year: 2025

Type: article

Source: Energy

DOI: 10.1016/j.energy.2025.139447

Authors: Yuankai Peng, Zhili Hu, Lin Hua, Xunpeng Qin, Jian Zheng, Quan Hu

Institution: Wuhan University of Technology

Language: English

Topic: Energy Efficiency and Management

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Wuhan University, Wuhan University of Technology, Hebei Provincial Key Research Projects, National Key Research and Development Program of China, Science and Technology Major Project of Guangxi, Science and Technology Program of Hubei Province

Awards: G1028352828, G3164757998, G3338769932, G4785627028, G4847294290, G5123205874, G5494361886, G6929813765, G8665307559

OpenAlex ID: W4416719002

FWCI: 0.139

Cites: 58

Cited by: 1

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