Stakeholders

DSM programs that ignore location leave value on the table — and leave regulators unconvinced.

A kilowatt saved on a constrained feeder is worth two to three times a kilowatt saved system-wide. DSMore gives DSM program designers and energy efficiency planners the hourly, location-specific avoided cost analysis they need to design programs where they create the most grid value — and to produce the cost-effectiveness documentation that utility commissions in more than 30 states accept without dispute.

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IMAGE PLACEHOLDER — LOCATIONAL DSM VALUE MAP
Visual: Before/after showing uniform avoided cost vs. locational avoided cost — constrained feeders highlighted at 2-3× higher DSM value.
Planning challenges

The questions IA analytics helps you answer

Why do good programs fail the benefit-cost test?

System-average avoided costs systematically undervalue programs in constrained areas. Programs that create significant grid value — deferring specific distribution upgrades — look marginal when evaluated on blended averages.

How do we justify geo-targeted programs?

Regulators expect documented, auditable cost-effectiveness analysis that shows why targeted programs outperform system-wide deployment. That requires locational avoided cost modeling, not spreadsheet adjustments.

How do we value demand response properly?

Demand response programs that rarely trigger still provide option value — insurance against extreme peak events. Traditional average-case analysis misses this, understating program value.

How do we evaluate NWA portfolios?

Non-wires alternative analysis requires probabilistic simulation across multiple weather and load scenarios to establish the confidence level of a proposed DER portfolio's load relief performance.

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See how DSMore can improve your portfolio's benefit-cost ratios

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