The construction of energy price legal regulation effect prediction model based on LSTM neural network

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Publication Details

Journal
International Journal of Information and Communication Technology
Published
2026-01-01
DOI
https://doi.org/10.1504/ijict.2026.10077262
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

The construction of energy price legal regulation effect prediction model based on LSTM neural network

Yan Zhao, Yingguo Jiang, Guoyu Wang
International Journal of Information and Communication Technology
Energy Load and Power Forecasting
article

The construction of energy price legal regulation effect prediction model based on LSTM neural network

Yan Zhao, Yingguo Jiang, Guoyu Wang
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Communication TechnologyVol. 27(32)
Life in Land
Openalex Percentile: Top 8%
Energy Load and Power Forecasting
DOIOpen Access PDFOpenAlex
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The construction of energy price legal regulation effect prediction model based on LSTM neural network — Yan Zhao, Yingguo Jiang, et al. · International Journal of Information and Communication Technology (2026) | TGRS Research Map | TGRS