Internet of Things and Artificial Intelligence for Carbon Emissions Monitoring and Forecasting A Systematic Review of Smart Environmental Accounting Systems
炭素排出モニタリングと予測のためのIoTとAI：スマート環境会計システムの系統的レビュー (AI 翻訳)
Tsitsi Shannon Chaparika, Monika Gondo
🤖 gxceed AI 要約
日本語
本系統的レビューは、IoTセンサーとAIモデルがリアルタイムの排出モニタリングと予測に有効であることを示す。しかし、炭素会計モデルとの統合に弱点があり、統一されたIoT-AIプラットフォームの開発が急務である。100件の査読付き研究を分析し、統合的炭素管理の研究ギャップを特定した。
English
This systematic review of 100 peer-reviewed studies demonstrates that IoT sensor networks and AI models effectively support real-time carbon monitoring and emissions forecasting. However, the integration with carbon accounting models remains weak, highlighting the need for unified IoT-AI platforms for accurate carbon management and climate governance.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本ではSSBJや有報での炭素情報開示が進む中、IoT/AIによるリアルタイムモニタリングは報告精度向上に貢献し得る。ただし本レビューは特定国の文脈に依存せず、日本の取組に直接示唆を与えるものではない。
In the global GX context
While the paper does not focus on Japan, its findings on integrating digital technologies with carbon accounting are globally relevant, especially for improving disclosure accuracy and timeliness under emerging ISSB and CSRD frameworks.
👥 読者別の含意
🔬研究者:Identifies critical gaps in integrating IoT/AI with carbon accounting, offering a roadmap for future research on unified digital platforms.
🏢実務担当者:Provides an evidence base for corporate sustainability teams evaluating digital tools for real-time emissions monitoring and reporting.
🏛政策担当者:Highlights the need for policy support in developing interoperable IoT-AI systems for robust climate governance.
📄 Abstract（原文）
Abstract The growing urgency of climate change mitigation has increased pressure to develop reliable systems capable of monitoring and predicting carbon emissions. Conventional carbon accounting methods based on manual reporting and periodic environmental assessments frequently produce delayed and incomplete emissions data. This systematic review was conducted in accordance with PRISMA guidelines. It examines existing literature on the application of digital technologies for carbon monitoring and management. The review focuses on Internet of Things (IoT) sensor networks, artificial intelligence (AI) forecasting models, carbon accounting frameworks and integrated digital carbon management systems. A structured search of five major academic databases yielded 100 peer-reviewed studies, selected and analysed across four thematic areas. Results demonstrate that IoT technologies effectively support real-time environmental monitoring and AI models reliably predict emissions trends. However, the literature reveals persistent weaknesses in the integration of monitoring systems with carbon accounting models. This review identifies critical research gaps and calls for the development of unified IoT-AI platforms to support accurate carbon management and climate governance.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.21203/rs.3.rs-9641440/v1first seen 2026-05-14 23:56:19
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。