mlsanityData to 7 Oct 2026

Conversational Demand Response: Bidirectional Aggregator-Prosumer Coordination through Agentic AI

arXiv 2603.06217 ↗First posted 6 Mar 2026cs.AI cs.MA cs.SYcited by 0

On the map: LLM agents and tool use → Financial trading and forecasting agents

Abstract (arXiv)

Residential demand response depends on sustained prosumer participation, yet existing coordination is either fully automated, or limited to one-way dispatch signals and price alerts that offer little possibility for informed decision-making. This paper introduces Conversational Demand Response (CDR), a coordination mechanism where aggregators and prosumers interact through bidirectional natural language, enabled through agentic AI. A two-tier multi-agent architecture is developed in which an aggregator agent dispatches flexibility requests and a prosumer Home Energy Management System (HEMS) assesses deliverability and cost-benefit by calling an optimization-based tool. CDR also enables prosumer-initiated upstream communication, where changes in preferences can reach the aggregator directly. Proof-of-concept evaluation shows that interactions complete in under 12 seconds. The architecture illustrates how agentic AI can bridge the aggregator-prosumer coordination gap, providing the scalability of automated DR while preserving the transparency, explainability, and user agency necessary for sustained prosumer participation. All system components, including agent prompts, orchestration logic, and simulation interfaces, are released as open source to enable reproducibility and further development.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Financial trading and forecasting agents, one of 16 directions in LLM agents and tool use. Builds on 7 of its 25 references that are in the map. First posted on arXiv 6 Mar 2026.

Builds on

7 of 25 references.

Closest ancestors · 2

Same direction, newest first

  1. 2025Context-aware LLM-based AI Agents for Human-centered Energy Management Systems in Smart Buildings31 Dec
  2. 2025Agentic AI Home Energy Management System: A Large Language Model Framework for Residential Load Scheduling30 Oct

Other references · 5

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  2. 2025From Language to Action: A Review of Large Language Models as Autonomous Agents and Tool Userscited by 32
  3. 2025Large Language Model Interface for Home Energy Management Systemscited by 5
  4. 2025Research on a Two-Layer Demand Response Framework for Electric Vehicle Users and Aggregators Based on LLMscited by 2
  5. 2025Dynamic Incentive Strategies for Smart EV Charging Stations: An LLM-Driven User Digital Twin Approachcited by 1

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Close in wording, no citation either way

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  2. 2025Conversational Agents for Building Energy Efficiency -- Advising Housing Cooperatives in Stockholm on Reducing Energy Consumption
  3. 2026Multi-Agent Home Energy Management Assistant
  4. 2026LLMs and Agentic AI Systems for Smart Grids: A Tutorial on Architectures and Applications
  5. 2025PowerChain: A Verifiable Agentic AI System for Automating Distribution Grid Analyses
  6. 2025ElectriQ: A Benchmark for Assessing the Response Capability of Large Language Models in Power Marketing
  7. 2025Behavioral Generative Agents for Energy Operations
  8. 2025Agentic AI Systems in Electrical Power Systems Engineering: Current State-of-the-Art and Challenges