Score the AI energy portfolio without fooling yourself
Build a weighted decision matrix for choosing among AI-for-energy use cases.
Six AI energy ideas are competing for one pilot slot, and stakeholder preference is louder than evidence. A weighted decision matrix compares options against criteria chosen before scoring. The common trap is to let projected savings dominate everything. High value without data, authority, measurement, or risk controls is not a launch-ready pilot. Before Pick chiller control because the savings estimate is the largest. After Pick tariff optimization first because it scores highest on weighted value, data readiness, authority, low risk, and measurement clarity. Define options Options: fault detection, tariff optimization, solar forecasting, invoice audit, chiller control, load clustering. A decision…
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