Work

Energy price prediction using data-driven models: A decade review

Year: 2020

Type: article

Source: Computer Science Review

DOI: 10.1016/j.cosrev.2020.100356

Authors: Hongfang Lu, Xin Ma, Minda Ma, Senlin Zhu

Institutions: Purdue University West Lafayette, Southwest University of Science and Technology, Tsinghua University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Yangzhou University

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W3114493467

FWCI: 6.203

Cites: 200

Cited by: 91

Related to: 10