Intelligent progress prediction for power grid engineering projects based on unstructured text data and deep learning

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.

Authors

Publication Details

Journal
International Journal of Reasoning-based Intelligent Systems
Published
2026-01-01
DOI
https://doi.org/10.1504/ijris.2026.10077265
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent progress prediction for power grid engineering projects based on unstructured text data and deep learning

Huaxing Bian, Jinxia Li, Tianmu Hu, Jian Shen
International Journal of Reasoning-based Intelligent Systems
Energy Load and Power Forecasting
article

Intelligent progress prediction for power grid engineering projects based on unstructured text data and deep learning

Huaxing Bian, Jinxia Li, Tianmu Hu, Jian Shen
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 Reasoning-based Intelligent SystemsVol. 18(11)
Openalex Percentile: Top 9%
Energy Load and Power Forecasting
DOIOpen Access PDFOpenAlex
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Intelligent progress prediction for power grid engineering projects based on unstructured text data and deep learning — Huaxing Bian, Jinxia Li, et al. · International Journal of Reasoning-based Intelligent Systems (2026) | TGRS Research Map | TGRS