energy-procurement

Optimize multi-facility electricity and gas procurement with interval meter data.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Maelwalser/claude-config --skill energy-procurement-maelwalser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: energy-procurement
Source: https://github.com/Maelwalser/claude-config/tree/main/skills/energy-procurement
Command: npx skills add https://github.com/Maelwalser/claude-config --skill energy-procurement-maelwalser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps commercial and industrial energy buyers reduce total energy cost and budget volatility by codifying procurement best practices for electricity and natural gas, including tariff optimization, demand charge management, PPA evaluation, and layered hedging across multiple facilities and markets.

Core Features & Use Cases

  • RFP and Contract Strategy: Design multi-site RFPs, compare fixed, index, and block-and-index offers, and recommend layered procurement schedules to manage market timing risk.
  • Tariff & Bill Optimization: Decompose utility bills into energy, demand, capacity, T&D and riders to identify switching or enrollment opportunities and to model ratchet exposure.
  • Demand Charge Mitigation: Analyze 15-minute interval data to locate peak intervals, evaluate load shifting, battery peak shaving, and DR program participation with stacked-value ROI.
  • PPA and REC Evaluation: Model physical and virtual PPAs, quantify basis and curtailment risk, and assess REC strategies for market-based Scope 2 accounting.
  • Use Case Example: Produce a blended procurement recommendation for 25 facilities in PJM and ERCOT that locks 60% of volume on fixed blocks, preserves 40% index exposure, and models demand charge savings from a proposed battery deployment.

Quick Start

Generate a multi-site procurement plan that optimizes tariffs, demand-charge mitigation, and PPA tradeoffs using provided 15-minute interval data, current tariff sheets, and target budget constraints.

Frequently Asked Questions about energy-procurement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize energy procurement for a multi-facility commercial portfolio?

To optimize energy procurement across multiple facilities, you need to model total cost of energy using 15-minute interval meter data, current tariff sheets, and forward market curves to design layered procurement schedules and mitigate demand charges.

What is the best way to reduce demand charges using interval meter data?

Reducing demand charges requires analyzing 15-minute interval data to locate peak intervals, then evaluating load shifting, battery peak shaving, and demand response program participation to calculate stacked-value ROI for mitigation strategies.

How does layered hedging work for commercial electricity and natural gas buying?

Layered hedging manages market timing risk by blending fixed blocks and index exposure across multi-site portfolios. It requires forward market curves to model procurement schedules that lock targeted volume percentages while preserving flexible index exposure.

Can I evaluate physical and virtual PPAs using tariff and forward market curves?

Yes, PPA evaluation models physical and virtual contracts by quantifying basis and curtailment risk using forward market curves. This process assesses REC strategies for market-based Scope 2 accounting and determines the total cost impact on your portfolio.

How do I decompose utility bills to identify tariff optimization opportunities?

Tariff optimization involves decomposing utility bills into energy, demand, capacity, T&D, and riders components. This breakdown identifies switching or enrollment opportunities across regulated and deregulated markets and models potential ratchet exposure.

Do I need 15-minute interval data to model demand charge mitigation and load profiling?

Yes, 15-minute interval data is a strict requirement. It provides the granular kWh and kW measurements necessary to perform accurate load profiling, locate peak intervals for demand charge mitigation, and model total cost of energy.