Semantic Technologies in Practical Demand Response: An Information Requirement-based Roadmap

The transition to a modern and efficient future grid relies on the seamless coordination of distributed energy resources and applications such as Demand Response (DR). While this transformation enables greater sustainability, it inevitably increases grid complexity and decentralization, requiring the effective coordination of millions of hardware assets and software agents. Realizing this vision demands advances in interoperability to ensure these heterogeneous systems can communicate without prohibitive customization costs. Semantic interoperability aims to address this by leveraging ontologies to guarantee the unambiguous interpretation of exchanged data. However, current semantic ontologies in the commercial building and DR domains face two critical limitations. First, existing ontologies are often developed without a formal framework that reflects real-world DR requirements. Second, proposals for integrating general (e.g., Brick) and DR-specific ontologies (e.g., EFOnt) remain mostly conceptual, lacking formalization or empirical validation.

Authors

Institutions

Publication Details

Published
2026-06-16
DOI
https://doi.org/10.1145/3744255.3811711
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semantic Technologies in Practical Demand Response: An Information Requirement-based Roadmap

Mario Bergés, Yuvraj Agarwal, Ozan Baris Mulayim, Derek Supple et al.
Smart Grid Energy Management
article

Semantic Technologies in Practical Demand Response: An Information Requirement-based Roadmap

Mario Bergés, Yuvraj Agarwal, Ozan Baris Mulayim, Derek Supple, S. Schaefer, Mitali Shah
article en

Abstract

The transition to a modern and efficient future grid relies on the seamless coordination of distributed energy resources and applications such as Demand Response (DR). While this transformation enables greater sustainability, it inevitably increases grid complexity and decentralization, requiring the effective coordination of millions of hardware assets and software agents. Realizing this vision demands advances in interoperability to ensure these heterogeneous systems can communicate without prohibitive customization costs. Semantic interoperability aims to address this by leveraging ontologies to guarantee the unambiguous interpretation of exchanged data. However, current semantic ontologies in the commercial building and DR domains face two critical limitations. First, existing ontologies are often developed without a formal framework that reflects real-world DR requirements. Second, proposals for integrating general (e.g., Brick) and DR-specific ontologies (e.g., EFOnt) remain mostly conceptual, lacking formalization or empirical validation.

Johnson Controls (United States) (US), Lawrence Berkeley National Laboratory (US), Itron (United States) (US), Carnegie Mellon University (US)
U.S. Department of Energy
Openalex Percentile: Top 100%
Smart Grid Energy Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.