Poisonous Snake in the Mansion: The Heir’s Counterattack
I am the Senior Utility Rate Design Economist on a state Public Utility Commission’s public staff, and when I matched the utility’s filed cost-allocation appendices against the NARUC Electric Utility Cost Allocation Manual at the public staff workpaper review, I understood that two consecutive rate cases had silently shifted approximately 288 million dollars from large industrial customers to residential ratepayers – and my staff signature was on the cost-of-service technical comments in both cases.
My name is Carmen Salcedo. I am the Senior Utility Rate Design Economist on a state Public Utility Commission’s public staff, serving 1.4 million ratepayers. I have been lead public staff economist on every general rate case the commission has decided for five years – and Shane Wu has spent the last two rate cases instructing the utility’s outside cost-allocation consultant to substitute a modernized customer-class load factor adjustment that has shifted 288 million dollars from large industrial customers to residential ratepayers.
At 8:15 AM, the state PUC office was quiet. I sat at my layout table, reviewing a routine quarterly fuel adjustment clause filing from a different utility on a different docket. The heavy, blue-bound NARUC Electric Utility Cost Allocation Manual lay open flat beside the utility’s filed cost-of-service exhibits.
I scanned the data arrays on my dual monitors. A small line-loss assumption drift appeared in the transmission column. It was a fractional percentage point. I did not flag it for passive observation. I drafted a public staff data request. I extracted the raw meter data and ran the recalculation directly on my terminal. The math cleared. The drift resolved to a documented load-research event from a localized sub-station routing change. I logged the verification. I closed the docket review item. The entire process took six minutes.
Later that morning, a new junior public staff economist walked into my office. We stood at my layout table. I opened a finalized cost-of-service model on the screen.
“Each cost-class’s revenue requirement share is derived from three variables,” I told him, tapping the screen. “Its contribution to system peak load, its energy use, and its number of customers.”
I pointed to the large industrial load factor formula—the ratio of average load to peak load. “This is the key parameter for allocating demand-related fixed costs.” I placed my hand on the open pages of the NARUC Electric Utility Cost Allocation Manual resting on the table. “The NARUC manual is the profession’s consensus. An allocation may deviate but must document deviation rationale and fit to utility-specific load research. Otherwise we are not allocating costs – we are allocating preferred outcomes.”
I pointed to the shelf above my desk, where a row of bound public staff workpaper binders sat perfectly aligned. “The NARUC manual is the public record. Any deviation has to live next to it on the bookshelf.”
Six years ago, Shane Wu stood in this exact office. He was the utility’s Vice President of Regulatory Affairs. I had just submitted my first major rate-case public staff cost-of-service report.
Shane carried a printed copy of the commissioners’ final order. He placed it on my desk. He had highlighted a passage citing my public staff analysis in bright yellow marker.
“This commission’s order reads like your workpapers,” he said.
He was generous. He was specific. Later that year, he nominated me for a NARUC subcommittee on cost-of-service methodology. I joined the committee. He respected the mathematics of rate design. He understood that the public staff was the essential counterweight to the utility’s financial models.
Six weeks ago, a crack appeared in that history.
An email arrived in my inbox from the state’s residential ratepayer advocate office. The subject line was a standard docket reference. I opened the message.
“We are seeing residential bill increases consistent with cost shifts not explained by the commission-approved rate design,” the advocate wrote. “Can you check the cost-allocation appendices in the prior two rate cases?”
I read the text. I filed the inquiry into my pending review folder. I planned to respond after the third rate case cost-of-service public staff comments were filed. I trusted the utility’s filed appendices because I had trusted the man who submitted them.
The PUC building was dark when I returned that evening. My office was silent. The only light came from the blue glow of my dual monitors.
I opened the formal docket archives on the internal server. I pulled the utility’s filed cost-allocation appendices for the two prior general rate cases. I opened the NARUC Electric Utility Cost Allocation Manual on my desk, flipping to the standard methodology for calculating the customer-class load factor.
I matched the utility’s filed numbers against the manual’s recommendations.
The utility’s appendices showed large industrial-class load factors 0.08 to 0.12 lower than what the underlying load-research data would justify under the strict NARUC framework. The math was not an accident. The variance was consistent across every single rate class in both rate cases. The lower industrial load factors artificially shifted the demand-related fixed costs. The result meant that residential customers absorbed a significantly larger share of the utility’s infrastructure burden.
I calculated the net cost shift. It was approximately 48 million dollars per year. The cumulative shift across the two rate cases was 288 million dollars.
Two rate cases ago, I sat in the utility’s headquarters conference room during a regulatory affairs strategy meeting. The midmorning light was bright. Shane Wu stood at the projector. He was briefing the utility’s executive team on his “modernized cost-allocation methodology.”
“This new approach aligns our cost structure with modern grid realities,” Shane had said, resting his laser pointer on a complex cost-allocation slide.
The utility’s general counsel, sitting across the table, had asked a direct question: “Will this methodology change affect the residential rate impacts?”
“It falls well within professional cost-allocation judgment ranges,” Shane replied smoothly.
I was not in that room to ask the technical questions. I was attending a NARUC annual meeting in Washington that week. The PUC’s procedural schedule recorded the cost-allocation appendix as filed without a specific public staff data request before the procedural deadline. My empty seat at the public staff table had been his operational window.
Three days ago, I was leaving the building late. I passed Shane’s office. He was preparing his presentation for the upcoming Tuesday PUC public hearing on the third rate case. He was working with a contracted regulatory communications consultant.
“We need to frame the modernized customer-class load factor adjustment carefully,” the consultant suggested, looking at a draft of the testimony. “Let’s call it ‘load research alignment.'”
Shane agreed immediately. He dragged a yellow highlighter across the “load research alignment” line in his binder. “And cite the rate-design framework as ‘cost-causation discipline.'” The consultant collected the exhibits into a folder. They were packaging a 288-million-dollar cost shift into a marketing brochure.
Eleven years ago, at my prior agency in a different state, I reviewed a similar filing. A different utility had attempted to insert a “marginal cost overlay” into a cost-allocation filing that systematically shifted demand-related fixed costs to residential customers.
I sat in my office late that afternoon. My review of the utility’s raw load-research data showed the overlay deviated from the utility’s own load research without a documented basis. I took my pen and marked the load-research line on my workpaper. I submitted the public staff comments recommending total rejection. The commission rejected the overlay. I was specific and unyielding because the load-research data was unmistakable.
I turned back to my monitors. I needed the raw numbers. I accessed the prior rate-case discovery records and pulled the utility’s load-research data files.
The raw data files showed large industrial-class load factors 0.08 to 0.12 higher than the numbers used in the final cost-allocation appendix.
I pulled the utility’s outside cost-allocation consultant’s parameter file under my PUC discovery authority. Two rate cases ago, a “modernized customer-class load factor adjustment” had been actively added to the consultant’s allocation engine.
I found the change-control communication authorizing the adjustment. It was signed by Shane Wu. The justification field read: “evidence-based cost-allocation refinement reflecting actual large-customer load profile contribution to system peak.”
It was an intentional, undocumented deviation from the utility’s own load-research data.
I dug deeper into the FERC filings. The utility’s federal FERC-jurisdictional wholesale transactions are priced based on the exact same cost-of-service model. The cost shift to residential customers had a parallel, hidden effect. It artificially reduced the cost basis attributed to the utility’s wholesale transmission service to neighboring utilities. This generated additional FERC-jurisdictional revenue during the period. The state PUC was not informed of this parallel FERC-side effect.
I checked the state’s residential impact studies. The 38,000 low-income residential households moved into a higher rate-class share of fixed costs experienced bill increases averaging 14 to 22 dollars per month. It was a measurable, bill-determinable harm.
I looked down at my layout table. The NARUC Electric Utility Cost Allocation Manual lay open flat beside the utility’s filed appendices.
Every customer class in the utility’s appendix showed large industrial-class load factors 0.08 to 0.12 lower than the underlying load-research data justified under the NARUC framework. The manual is the profession’s consensus. It is the unmoved reference. The utility’s appendices had moved against it. The manual had gone from a routine reference open beside a quarterly review to the public record that the utility’s two rate cases had silently deviated from. The manual does not adjust itself.
I closed the manual. I inserted a hash-validated PUC-issued thumb drive into my workstation. I exported the utility’s filed appendices, the underlying load-research data files, the consultant’s parameter file, the NARUC reference comparison, Shane’s change-control communication, and my public staff workpaper binders.
I drafted the PUC formal complaint outline. I did not call Shane. I did not call the PUC executive director.
Shane believes the modernized customer-class load factor adjustment represents an evidence-based cost-allocation refinement. He believes the NARUC manual contains conservatism beyond actual cost causation and that the utility’s regulatory affairs function has the discretion to refine within that conservatism. He does not say ‘shifted costs to residential customers.’ He says ‘modernized the allocation.’ He believes I am a public staff economist who reviews exhibits, not a Senior Rate Design Economist who reads the load-research data files against the utility’s filed appendices.
I looked at the clock on the wall. It was 12:48 AM.
I opened the PUC formal complaint portal. I began writing the complaint, attaching the utility’s filed appendices, the underlying load-research data files, the consultant’s parameter file, the NARUC reference comparison, Shane’s change-control communication, the residential ratepayer advocate inquiry, and my public staff workpaper binders.
It was Monday evening. The digital clock on my taskbar shifted to 5:42 PM. The PUC public staff floor was largely empty. The overhead fluorescent lights had already transitioned to their low-energy night setting. My workstation monitor illuminated the quiet room, casting a pale glow across the stacks of regulatory filings on my layout table.
An automated notification populated the corner of the screen.
Shane Wu had circulated the finalized cost-of-service testimony for Tuesday’s PUC public hearing on the third rate case.
I clicked the alert. I opened the PDF attachment. The document ran to four hundred and twelve pages. I bypassed the executive summaries and the legal introductions. I navigated directly to the cost-allocation appendices buried at the back of the filing.
The mathematical methodology remained identical to the prior two rate cases. The testimony brazenly reaffirmed the modernized customer-class load factor adjustment. The text framed the undocumented deviation as an exercise in “load research alignment.” It cited the resulting rate design—the exact mechanism that forced 38,000 low-income households into a higher tier—as an application of “cost-causation discipline.”
If the Tuesday hearing proceeded as scheduled tomorrow morning, the commission would move toward preliminary approval. The administrative record would be established. The cost shift would be locked in for another three-year rate-case cycle. The 288 million dollar variance would compound indefinitely.
At that exact moment, Shane sat in his corner office at the utility headquarters across the city. The space was meticulously designed to project institutional permanence and operational control. Framed utility-industry awards lined the wall behind his heavy desk. A highly detailed scale model of a coal-to-gas transition power plant rested on his polished mahogany credenza.
He was on the phone with his contracted regulatory communications consultant. He leaned back in his ergonomic chair, resting his hand on the armrest. He was completely relaxed. He had personally presented seven general rate cases before the commission during his tenure. He knew the procedural rhythms. He knew how to guide the commissioners away from raw data and toward polished narratives.
He reviewed tomorrow’s hearing flow with the consultant. He confirmed the oral testimony would rely heavily on the “load research alignment” phrasing to justify the numbers. He confirmed they would lean on the “cost-causation discipline” framing if any of the intervenors asked about the residential rate impact.
Before ending the call, Shane opened his email client. He drafted a direct message to the PUC hearing clerk. He instructed the clerk to adjust the seating chart for the public-comment section. He directed that the residential ratepayer intervenors—the representatives of the 38,000 households absorbing the cost shift—be seated at the very back of the gallery, far from the microphones. He formally requested that their speaking time be strictly limited to two minutes per person, citing the need to ensure the hearing remained focused on technical merits.
I did not wait for the hearing to raise an objection on the floor. I did not draft an internal public staff memo for my supervisor. I did not request a pre-hearing conference with the utility’s legal team.
At 6:18 AM on Tuesday, exactly one hundred and sixty-two minutes before the PUC public hearing was scheduled to begin, I sat at my desk in the silent PUC building. The sun was just beginning to rise, casting long, sharp shadows across the layout table. I finalized the formal state PUC complaint.
I attached the utility’s filed appendices. I attached the underlying load-research data files extracted directly from the discovery server. I attached the outside consultant’s parameter file. I attached the NARUC manual reference comparison. I attached Shane’s signed change-control communication. I attached the residential ratepayer advocate inquiry. I attached the high-resolution scans of my public staff workpaper binders.
I submitted the package under the state’s just-and-reasonable rates statute.
The federal and state portals processed the transmission. The progress bar moved across the screen. The system generated an official PUC docket number. An automated confirmation arrived in my inbox seconds later. It stated that FERC Office of Energy Market Regulation observer Lucas Patel had received the parallel referral regarding the wholesale transmission service revenue effect. He would attend the morning’s hearing in an observation capacity.
A secondary alert indicated the State Attorney General Consumer Protection Bureau had been formally notified of the deceptive trade practices implications. Attorney Naomi Brand had already reviewed the initial filing. Her office issued a preliminary records request to the utility at 7:14 AM.
I opened my heavy work notebook. I took my red ink pen from the drawer. I wrote the PUC docket number on the top line of the blank page. I pressed the tip of the pen firmly into the paper.
Observer Patel was en route from the federal office. Attorney Brand had initiated the investigation. I did not know the morning traffic conditions on the interstate. I did not know if Patel would clear the building’s security checkpoint and enter the main hearing room before the presiding commissioner gave the gavel to order.
Shane controlled the initial testimony timeline. If he moved quickly through the introductions, he could certify the modernized customer-class load factor adjustment into the permanent record before the federal and state mechanisms arrived in the room.
I was still slated on the hearing agenda as the Senior Utility Rate Design Economist for the public staff. I highlighted the filed appendices, the raw load-research data, the consultant’s parameter file, the NARUC reference comparison, and the change-control communication on my computer. I sent the files to the heavy-duty laser printer down the hall.
The machine whirred to life, pulling paper from the tray. I gathered the physical sheets. I aligned the edges precisely against the metal table. I placed them in my presentation folder.
I picked up the folder. I walked out of my office and headed toward the main hearing room. I did not know if the FERC observer would be there.
The PUC main hearing room was brightly lit at 9:00 AM on Tuesday. The presiding commissioner sat at the head of the bench, flanked by two associate commissioners.
FERC Office of Energy Market Regulation observer Lucas Patel sat in the observation row; he had arrived at 8:46 AM with his credentials. State Attorney General Consumer Protection Bureau attorney Naomi Brand sat nearby, having arrived at 8:51 AM. The regulatory communications consultant sat directly behind the witness lectern. Three state-government reporters occupied the gallery, while residential and large industrial intervenors lined the side rows.
Shane Wu stood at the witness lectern. I sat at the public staff table. My laptop was open, and the NARUC Electric Utility Cost Allocation Manual lay flat on the table next to it.
Shane clicked his microphone. “Two consecutive general rate cases reflect the utility’s commitment to evidence-based cost-allocation refinement, with a modernized customer-class load factor adjustment reflecting actual large-customer load profile contribution to system peak and supporting cost-causation discipline across customer classes,” he stated to the room.
Observer Patel leaned forward to his microphone. “I’d like to understand the relationship between the modernized customer-class load factor adjustment and the underlying utility load-research data,” Patel said.
“The adjustment reflects allocation engineering judgment under standard utility regulatory affairs discretion,” Shane replied smoothly.
I opened my laptop.
“The utility’s filed cost-allocation appendices show large industrial-class load factors 0.08 to 0.12 lower than the utility’s own underlying load-research data justifies,” I said. “The deviation is not documented against utility-specific load research, which the NARUC Electric Utility Cost Allocation Manual requires for any deviation. Cumulative cost shift across two rate cases: approximately 288 million dollars from large industrial customers to residential ratepayers. The change-control communication authorizing the adjustment is signed by you and was produced through PUC discovery.”
Shane lowered his voice. “Carm. We discussed the modernization two rate cases ago in the regulatory affairs strategy meeting.”
“We discussed nothing,” I said. I did not lower my voice. “I was at a NARUC annual meeting that week. The procedural schedule recorded the appendix as filed without specific public staff data request before the procedural deadline. The manual is on this table. The utility’s filed appendices moved against it for two rate cases. The manual does not adjust itself.”
“The adjustment reflects load-research alignment and the utility’s good-faith application of cost-causation discipline,” Shane said.
I slid the load-research data files and the change-control communication printout across the polished wood table to Observer Patel.
“The adjustment was not load-research alignment,” I said. “It was a load-factor adjustment that moved 38,000 low-income residential households into a higher rate-class share of fixed costs. It reduced the cost basis attributed to the utility’s FERC-jurisdictional wholesale transmission service. The load-research data on this table contradicts the appendix on the witness lectern.”
I looked at the presiding commissioner.
“The PUC formal complaint I filed at 6:18 this morning attaches the utility’s filed appendices, the underlying load-research data files, the consultant’s parameter file, the NARUC reference comparison, and the change-control communication signed by you – and the third rate case testimony before this commission cites my public staff signature as the basis for the cost-causation discipline framing,” I stated.
The room went completely silent.
FERC Observer Lucas Patel took the change-control communication printout. He read the justification line. He marked the page with a yellow tag. He looked up and issued a verbal recommendation to the presiding commissioner that the cost-allocation methodology be coordinated with FERC’s Office of Energy Market Regulation given the wholesale transmission service revenue effect.
AG Attorney Naomi Brand opened her laptop. She noted the time. She confirmed the consumer protection bureau investigation will be coordinated with the PUC reopening proceeding and indicated a preliminary preservation directive will be issued to the utility within 24 hours.
The presiding commissioner pushed back from the bench by four inches. He looked at the load-research data printout. He filed an oral order deferring the third rate case cost-of-service testimony pending the formal complaint resolution and directing the utility to produce a responsive cost-of-service exhibit using the underlying load-research data unadjusted.
Shane gathered his testimony binder slowly. He straightened his pen against the lectern.
“I built this utility’s modern cost-allocation framework over a decade,” he said.
He picked up his binder. He walked out of the hearing room. He left without making eye contact with me.
Observer Patel logged the exact time of departure: 9:54 AM.
Shane’s Vice President of Regulatory Affairs position was now subject to internal review pending the PUC formal complaint, FERC referral, and AG investigation findings. The utility entered a corrective-rate proceeding requiring reopening of the two prior rate cases, refunds to residential customers via one-time bill credits, and three years of monitored compliance under enhanced PUC public staff oversight on cost-allocation filings.
My PUC office was quiet in the late afternoon. The light through the hearing-room corridor window fell angled and yellow across the floor. The public staff workpaper binders for the two prior rate cases sat in a heavy stack on my desk, marked with red tags for the reopening proceeding.
I opened the preliminary lookback report from the state’s residential ratepayer advocate office. The PUC had officially issued the order reopening the two prior rate cases. The cost shift to residential customers was being refunded via a one-time bill credit.
But the timeline of bureaucracy is slower than the timeline of poverty.
According to the report, 4,400 of the 38,000 affected low-income residential households had already been disconnected for non-payment during the two-year period of the inflated rates. After the refund credit was processed, 1,840 households re-established service.
The remaining 2,560 did not return to the utility. They had moved out of the service territory or out of housing entirely. The cost shift was reversed in exact dollar terms. The displacement of 2,560 households was not reversed by a one-time bill credit. The long-term effects of those disconnections—housing instability, reliance on more expensive prepaid service alternatives, missed medical appointments due to lost cold-storage capacity for prescription medication—were all permanently documented in the ratepayer advocate’s record. The money was recovered. The damage remained.
I looked up at the heavy, blue-bound NARUC Electric Utility Cost Allocation Manual resting on my bookshelf. Six weeks ago, the manual was just a routine reference open on my layout table during a quarterly fuel adjustment clause review. Now, it was back on the shelf. It was the exact same bound reference, holding the exact same authoritative position in the profession. But right beside it on the shelf was a freshly printed reopening-proceeding case schedule for the two prior rate cases. I had annotated it by hand. I placed a red mark by each original rate case’s order date. I placed a green mark by the corresponding reopening order date. The cumulative cost-shift figure—288 million dollars—was written next to each rate case in blue ink. The manual had gone from the unmoved reference that the utility’s filed appendices silently moved against, back to the unmoved reference that the reopening proceeding would measure the corrective filings against. The manual does not adjust itself. The reopening proceeding will adjust the record.
I opened my lower desk drawer. I took out a fresh, unmarked public staff workpaper binder.
I took my black permanent marker. I labeled the spine with the new reopening-proceeding case identifier. I stood up and walked to the bookshelf. I slid the new binder onto the shelf, positioning it exactly at the far right of the row of prior rate-case binders.
The blank pages waited.
Shane thought the utility’s filed appendices and the NARUC manual were two different things. He forgot that I sign the public staff comments and read the load-research data files from the same desk. He forgot that the manual does not adjust itself—and that a load factor calculated by the utility’s own load research does not modernize itself to fit anyone’s regulatory affairs framing.
THE END.
