TY - GEN
T1 - Toward Standardized Demand-Side Management Frameworks
T2 - 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025
AU - Al-Qahtani, Muneera
AU - Boumaiza, Ameni
AU - Ahmad, Furkan
AU - Shannak, Sa'd
AU - Sanfilippo, Antonio
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper presents a standardized, policy-driven framework for Demand-Side Management (DSM) integration to support Qatar's smart grid transformation. The proposed framework is built upon a four-layer architecture - Policy, Control & Optimization, Communication & Interoperability, and Engagement & Measurement & Verification - designed to translate regulatory mandates into actionable and measurable DSM interventions. Utilizing over 2.4 million high-resolution smart meter readings collected between January 2024 and January 2025, we evaluate two DSM strategies: peak shaving and time-of-use (TOU) response. The peak shaving scenario achieved a 1.42% reduction in total energy consumption and a 9.12% reduction in peak demand, aligning with the objectives of Qatar's National Renewable Energy Strategy. Conversely, the TOU scenario demonstrated limited effectiveness, underscoring the need for enhanced behavioral targeting and automation. The study concludes by outlining future directions, including the development of real-time adaptive controls, blockchain-enabled audit mechanisms, and potential scalability of the framework across the Gulf Cooperation Council region.
AB - This paper presents a standardized, policy-driven framework for Demand-Side Management (DSM) integration to support Qatar's smart grid transformation. The proposed framework is built upon a four-layer architecture - Policy, Control & Optimization, Communication & Interoperability, and Engagement & Measurement & Verification - designed to translate regulatory mandates into actionable and measurable DSM interventions. Utilizing over 2.4 million high-resolution smart meter readings collected between January 2024 and January 2025, we evaluate two DSM strategies: peak shaving and time-of-use (TOU) response. The peak shaving scenario achieved a 1.42% reduction in total energy consumption and a 9.12% reduction in peak demand, aligning with the objectives of Qatar's National Renewable Energy Strategy. Conversely, the TOU scenario demonstrated limited effectiveness, underscoring the need for enhanced behavioral targeting and automation. The study concludes by outlining future directions, including the development of real-time adaptive controls, blockchain-enabled audit mechanisms, and potential scalability of the framework across the Gulf Cooperation Council region.
KW - Demand-Side Management
KW - Energy Efficiency
KW - Peak Load Reduction
KW - Policy-Driven Framework
KW - Regulatory Compliance
KW - Smart Grid Integration
KW - Time-of-Use Pricing
UR - https://www.scopus.com/pages/publications/105024712897
U2 - 10.1109/IECON58223.2025.11221772
DO - 10.1109/IECON58223.2025.11221772
M3 - Conference contribution
AN - SCOPUS:105024712897
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
Y2 - 14 October 2025 through 17 October 2025
ER -