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richardnpaul
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energy-procurement

Standardize energy procurement workflows for multi-site commercial and industrial facilities.

Updated Apr 2, 2026
Search Tags:#hedging#multi-site#energy-procurement#load-profiling#tariff-optimization#demand-charges#PPAs
One-click install
npx skills add https://github.com/richardnpaul/everything-vscode-copilot --skill energy-procurement-richardnpaul
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: energy-procurement
Source: https://github.com/richardnpaul/everything-vscode-copilot/tree/main/.github/skills/energy-procurement
Command: npx skills add https://github.com/richardnpaul/everything-vscode-copilot --skill energy-procurement-richardnpaul

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reduces the complexity of securing competitive electricity and natural gas pricing across multiple facilities by standardizing procurement knowledge and decision frameworks.

Core Features & Use Cases

  • Profileing facility load shapes with 15-minute interval data to identify cost drivers.
  • Analyze tariffs, optimize rate structures, and design multi-product procurement (fixed, index, block-and-index, layered).
  • Evaluate supplier bids, structure RFPs, and model hedging, DR, and PPAs for long-term energy strategies.
  • Support sustainability reporting and economic risk management (budget certainty vs market exposure) across regulated and deregulated markets.
  • Real-world use cases: multi-site RFPs, demand-charge mitigation with storage or DR, VPPA/PPA evaluation, and capacity/rate-case risk planning.

Quick Start

Run a procurement scenario for a 5-site campus and generate a recommended hedging mix based on current forward curves.

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 multi-site commercial facilities?▼

Energy procurement for multi-site facilities is optimized by profiling 15-minute interval load data to identify cost drivers, analyzing tariffs, and structuring multi-product RFPs. This standardizes decision frameworks across regulated and deregulated markets.

What is the best way to evaluate supplier bids and structure electricity RFPs?▼

Evaluating supplier bids requires modeling different procurement products like fixed, index, and block-and-index structures. You can assess these bids against current forward curves to balance budget certainty against market exposure.

How does load profiling help with demand-charge management and tariff optimization?▼

Load profiling uses interval meter data to map facility consumption shapes, directly identifying peak demand charges. Analyzing these load shapes allows you to optimize rate structures and design mitigation strategies using storage or demand response programs.

Can I model market hedging strategies and PPAs for long-term energy planning?▼

Market hedging and PPAs are modeled by applying a layered procurement process against ISO market data and forward curves. This evaluates VPPA/PPA structures and demand response programs for long-term economic risk management.

What data inputs are required to run a multi-site energy procurement scenario?▼

Running a procurement scenario requires 15-minute interval meter data for facility load profiling and market data inputs like ISO forward curves. These inputs generate a recommended hedging mix based on current market conditions.

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