Behavioral Demand Response Dispatch Model for Utility Load Management

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Solution Overview

Problem

Traditional demand response methodologies rely on centralized control, which users are reluctant to accept, and lack infrastructure to directly measure, predict, or manage consumption reductions, limiting the effectiveness of behavioral demand response techniques.

Innovation Solution

A behavioral demand response dispatch (BDRD) model that uses personalized communications to incentivize consumers to reduce resource consumption by identifying target users and providing tailored notifications, leveraging machine-learning to adapt and improve accuracy over time, allowing for precise and reliable consumption reductions without direct control over devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If centralized control is used to manage resource consumption, then consumption reductions can be directly measured and controlled, but users are reluctant to accept loss of control over their devices

Engineering Contradiction:
Improveconsumption reduction reliabilityVSAvoiduser acceptance
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system enables users to autonomously decide whether to reduce consumption based on personalized communications from the BDRD model, rather than requiring centralized control. Users self-manage their consumption decisions while the system provides targeted incentives, resolving the contradiction between reliable reduction measurement and user acceptance of device control.

Inventive Principle:
Principle #25Self-service

2Ease of operation

If behavioral demand response techniques are used without direct device control, then user acceptance is maintained, but infrastructure to measure and manage consumption reductions is lacking

Engineering Contradiction:
Improveuser acceptanceVSAvoidconsumption reduction reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The BDRD model incorporates feedback loops that monitor consumption patterns, evaluate communication effectiveness, and continuously refine targeting strategies. This feedback mechanism enables the system to reliably measure and manage consumption reductions while maintaining user autonomy, as the model adapts based on observed behavioral responses to personalized communications.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system introduces an intermediary layer (the BDRD model and personalized communication system) between the utility and user devices. This intermediary manages consumption reductions through behavioral incentives rather than direct device control, providing the missing infrastructure for measuring and managing reductions while preserving user acceptance.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If personalized communications are sent to all consumers, then consumption reduction effectiveness is improved, but communication costs and system complexity increase

Engineering Contradiction:
Improveconsumption reduction effectivenessVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The BDRD model applies local quality by customizing communications based on individual user characteristics, consumption patterns, and responsiveness metrics. Rather than sending uniform messages to all consumers, the system tailors content and timing to each user's specific context, improving effectiveness while managing complexity through targeted personalization rather than universal customization.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system implements partial action by sending personalized communications only to selected target users identified by the BDRD model as most likely to respond. This selective approach maintains high reduction effectiveness by focusing resources on responsive users, while reducing overall system complexity and communication costs compared to contacting all consumers.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10037014B2Behavioral demand response dispatch
Publication Date: 2018.07.31 OPOWER
  • US10037014B2 patent drawing
  • US10037014B2 patent drawing
  • US10037014B2 patent drawing

AI summary

The subject disclosure relates to computer-implemented methods that include steps for receiving a reduction request, the reduction request indicating a desired amount of a consumable resource for which consumption is to be reduced, receiving a population indicator, the population indicator defining a set of consumers associated with the reduction request, and determining, using a behavioral demand dispatch (BDD) model, one or more target users from among the set of consumers. In certain aspects, the steps can further include providing a demand reduction communication to each of the one or more target users. Systems and computer readable media are also provided.