Oregon enacted the Protection of Oregon Residents with Energy Responsibility (POWER) law to reduce electricity costs for consumers while increasing costs for high-consumption entities. ^[1] Researchers developed a method that treats electricity market clearing as a differentiable optimization layer to enable gradient-based planning for data centers. ^[2] The legislation imposes an average 29% fee increase on data centers to offset the financial relief provided to residential and commercial users. ^[3] The POWER law reduces electricity costs for approximately 858,000 residential customers and 105,000 commercial and industrial customers by an average of 1.3%. ^[4] Gradient optimization recovered continuous allocations almost exactly when judged against exhaustive enumeration of all site combinations. ^[5] The authors validated the proposed gradients against finite differences before applying the method to a concrete problem. ^[6] The method uses reverse-mode automatic differentiation to propagate planning costs back through cleared prices to the plan after each forward pass solves the market. ^[7] The law aims to make data centers pay for their own energy systems and recycle water to incorporate sustainable practices for long-term operation. ^[8]