Demand Response Scheduling for Residential Energy Flexibility: A Day-ahead Renewable-driven Approach
住宅エネルギー柔軟性のための需要応答スケジューリング：日前再生可能エネルギー駆動型アプローチ (AI 翻訳)
Mylona, Zoi, Papakonstantinou, Athanasios, Chatzigiannis, Dimitrios, PARASCHI, MARION, Michalakopoulos, Vasilis, Sarmas, Elissaios
🤖 gxceed AI 要約
日本語
この論文は、住宅用エネルギー消費を再生可能エネルギーの利用可能性と電力系統の炭素強度に応じてスケジュールする日前需要応答フレームワークを提案する。Horizon Europe DEDALUSプロジェクトの一部として開発され、ユーザーの日常ルーチンを維持しながら炭素意識の高い需要応答を促進する。家電の柔軟性モデリングと最適化を組み合わせ、実環境で検証予定。
English
This paper proposes a day-ahead demand response framework that schedules residential electricity consumption based on renewable energy availability and grid carbon intensity. Developed within the Horizon Europe DEDALUS project, it promotes carbon-aware demand response by shifting flexible loads to cleaner periods while preserving user routines. The framework integrates appliance-level flexibility modeling and optimization, and will be validated in a real living lab.
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
日本においても、住宅部門の脱炭素化は重要課題であり、特にスマートメーター普及とPPAモデル拡大の中で、本フレームワークは需要側の柔軟性活用と再生可能エネルギー統合を促進する手法として参考になる。ただし、日本の電力市場構造や気候条件に合わせた調整が必要。
In the global GX context
This paper is relevant to global GX as it addresses residential demand response with carbon intensity signals, aligning with smart grid and energy flexibility trends. The framework's integration of user preferences and renewable forecasts offers a practical approach for utilities and aggregators to enhance renewable integration and reduce emissions. It also demonstrates the application of Horizon Europe research in real-world settings.
👥 読者別の含意
🔬研究者:需要応答スケジューリングの最適化手法と炭素強度指標の統合に関する参考となる。
🏢実務担当者:住宅向け需要応答プログラムの設計やスマートメーターデータ活用の実践例として有用。
🏛政策担当者:住宅部門の脱炭素化政策やスマートグリッド推進に資する需要側リソース活用の方向性を示す。
📄 Abstract（原文）
This paper presents a day-ahead demand response framework that supports residential energy flexibility by scheduling household electricity consumption according to renewable energy availability and grid carbon intensity. Developed within the Horizon Europe DEDALUS project, the proposed approach promotes a carbon-aware demand response strategy that shifts flexible loads towards periods with a cleaner electricity mix, contributing to the decarbonisation of residential energy consumption while preserving users' daily routines. The framework combines appliance-level flexibility modelling, user-defined operational preferences and sustainability indicators within a mixed-integer linear optimisation model. Household appliances are classified according to their operational characteristics, enabling tailored scheduling strategies that maximise renewable energy utilisation while respecting technical constraints and occupant preferences. The optimisation process integrates day-ahead forecasts of renewable energy generation, carbon intensity and electricity demand to generate personalised recommendations for flexible appliance operation. The proposed methodology is designed for real-world deployment through HERON's Living Lab, where it will be validated across a large portfolio of residential households equipped with smart metering technologies. By combining data-driven forecasting, user engagement and sustainability-oriented optimisation, the framework demonstrates how residential demand response can increase renewable energy integration, reduce carbon emissions and encourage more active consumer participation in future smart energy systems.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21506887first seen 2026-07-24 04:17:03
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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。