持続可能エネルギー応用に向けたエネルギー管理システムソフトウェアツールの機能的次元の評価
Evaluation of functional dimensions of energy management system software tools for sustainable energy applications (原題)
Muhammad Shahzad Akbar, Adnan Aslam Noon, Javed Ahmed Khan Tipu, Omar Ali Beg, Shahab Khushnood
🤖 gxceed AI 要約
日本語
本論文は、エネルギー管理システム（EMS）ソフトウェアツールの11の主要機能次元について、75名へのアンケート調査をもとに重要度と相互依存性を統計的に評価した。記述統計・ピアソン相関・探索的因子分析により、経済分析能力・実適用性・計算能力が最重要次元であることを示し、性能と使いやすさの統合など3つの潜在因子が分散の72%を説明することを明らかにした。EMSツール選定と開発に向けた実務的示唆を提供する。
English
This study statistically evaluates 11 functional dimensions of Energy Management System (EMS) software tools via a survey of 75 respondents, using descriptive statistics, Pearson correlation, and exploratory factor analysis. Economic analysis capability, real-world applicability, and computational capacity emerged as most critical, with three latent factors explaining 72% of variance. It offers a relational, user-centered framework for EMS tool selection and development.
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
日本では省エネ法・GXリーグ・SSBJ開示に向けて企業のエネルギー管理高度化が求められており、EMSツール選定の評価軸は実務担当者にとって参考になる。ただし開示制度やScope算定との直接接続は弱い。
In the global GX context
Globally, EMS tools underpin corporate energy transition and emissions data collection, feeding into TCFD/ISSB disclosure and decarbonization planning. This paper's relational evaluation framework adds a user-centered lens to tool selection, though it does not directly address disclosure standards.
👥 読者別の含意
🔬研究者:EMSツール評価における多次元・因子分析アプローチの実証例として参考になる。
🏢実務担当者:EMSソフト選定時に経済分析・実適用性・計算能力のバランスを評価軸として活用できる。
🏛政策担当者:省エネ政策支援ツールの普及・評価基準設計の参考になりうる。
📄 Abstract（原文）
The intensifying global energy demand necessitates a transition toward sustainable energy systems, amplifying the need for effective Energy Management System (EMS) software tools for planning, simulation, and decision-making. Existing studies largely offer descriptive comparisons of EMS tools, with limited attention to the relationships among their key characteristics. This study addresses that gap through a data-driven, user-centered evaluation framework. It assesses the perceived importance and interdependencies of eleven key dimensions of EMS software tools, based on a cross-sectional survey of 75 respondents with relevant academic and professional experience. Data were analyzed using descriptive statistics, Pearson correlation, and Exploratory Factor Analysis (EFA). Economic Analysis Capability, Real-World Application, and Computational Capacity emerged as the most critical dimensions, with strong Bonferroni-corrected associations among computational performance, usability, and practical applicability. EFA identified three latent dimensions comprising of performance and usability integration, technical and analytical capability, and system configuration flexibility explaining 72% of total variance. The findings suggest that EMS tools perceived as effective require a balanced integration of computational strength, usability, economic evaluation, and real-world applicability. By moving beyond descriptive comparisons toward a statistically grounded, relational evaluation framework, this study offers practical insights for EMS tool selection and future development for sustainable energy applications.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s43621-026-04731-3first seen 2026-10-08 04:49:07
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