Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series

IF 4.2 4区环境科学与生态学 Q2 ENGINEERING, ENVIRONMENTAL

Clean Technologies and Environmental Policy Pub Date : 2024-04-20 DOI:10.1007/s10098-024-02852-9

Thanh Tuan Le, Prabhakar Sharma, Sameh M. Osman, Marek Dzida, Phuoc Quy Phong Nguyen, Minh Ho Tran, Dao Nam Cao, Viet Dung Tran

引用次数: 0

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基于可解释机器学习和时间序列的预测模型预测越南的能源消耗和二氧化碳排放量

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clean Technologies and Environmental Policy 环境科学-工程：环境

CiteScore

8.10

自引率

7.00%

发文量

179

审稿时长

8 months

期刊介绍： This journal publishes papers that aid in the development, demonstration, and commercialization of cleaner products and processes as well as effective environmental policy strategies. As its title suggests, the journal has two major thrusts: Clean Technologies and Environmental Policy. The Clean Technology thrust addresses the science and engineering of clean technologies. Moreover, it examines mathematical and computer-based methods and models for designing, analyzing, and measuring the cleanliness of products and processes. The Environmental Policy thrust covers research advances in scientific, social, behavioral, and economics disciplines that are relevant to complex environmental policy issues. In addition to research papers, the journal offers policy-oriented commentaries from world renowned leaders in environmental technology and policy research. It also features special issues focusing on topics of international concern.