Welcome to EnergyLab-TimeSeries.com

🚀 Milestone Update – May 8, 2025

Today, Thursday, May 8, 2025 at 6:00 AM marked a major milestone in the EnergyLab journey. What began just a couple of months ago as an experiment to connect small OLED displays to an Arduino Nano and push EnergyLab data to WordPress via Google Sheets… has now evolved into Sandbox 15.

Sandbox 15 is a fully automated AI processing system. It pulls live data from RSS news sources across the Internet, processes them through a locally hosted large language model (LLM) inside the EnergyLab LAN, and publishes a structured summary to a dedicated tabbed WordPress page — all automatically, twice a day at 6:00 AM and 6:00 PM.

This is just the beginning. A proof of concept. Stay tuned.

This website is the home of a live engineering experiment — where real-time energy systems come alive through sensors, dashboards, overlay maps, digital twins, and streaming data. It’s also where we explore what’s now possible by combining real-time telemetry, modern web tools, and AI.

EnergyLab is an innovative platform that blends hands-on hardware with cloud-connected time-series dashboards. This isn’t built with drag-and-drop tools. It’s built through clear thinking, plain-language design, and collaborative AI coding.

What You’ll Find Here

  • Real-time Overlays – Dynamic visualizations of energy and systems data
  • Live Solar + HVAC Data – Monitor system performance as it happens
  • Sub-second MQTT Streams – Instantaneous telemetry from sensors and systems
  • Modular Sandboxes – Self-contained labs for focused experimentation
  • Digital Twin Simulators – Real-time models of system behavior driven by live data
  • EIA Grid Insights – Live fuel mix, demand, and pricing from U.S. grid data

Each Sandbox is a self-contained module designed for live data exploration and time-series analysis. They capture data, perform calculations, and publish directly to this site via a custom sync engine.

Featured Sandboxes (Now Live)

  • 🔁 Sandbox 2 – First experiment in live overlays and sensor input using Google Sheets
  • 📊 Sandbox 3 – Outdoor air temperature overlays from an Ecowitt weather station
  • 🔆 Sandbox 5 – Solar PV + EcoFlow Delta 2 power station efficiency monitoring
  • 🔥 Sandbox 6 – Multi-zone gas boiler + IR burner analytics + cost projections
  • 🛰️ Sandbox 8 – GOES X-ray flux + solar PV hybrid monitoring (LAN + Internet)
  • 📈 Sandbox 9 – EIA-driven U.S. energy use, fuel mix, pricing, Sankey flows + trends
  • 🌎 Sandbox 10 – Digital Twin of a commercial geothermal WSHP system
  • 🌎 Sandbox 11 – HVAC load simulator with real-time weather + digital twin integration
  • 🌎 Sandbox 12 – The Energy Cycle – visualizing building operation patterns
  • 🔦 Sandbox 13 – U.S. electric grid, natural gas, and petroleum sparklines
  • 🗞️ Sandbox 14 – RSS-driven treemap visualization for HVAC + energy news
  • 🤖 Sandbox 15 – AI-automated executive summary generation from live Internet feeds

All of this is powered by the EnergyLab Hub — a centralized service running on device .213 that synchronizes data from InfluxDB and local sensors to both LAN and cloud-hosted WordPress systems.

How This Was Built

No wireframes.
No low-code dashboards.
No CMS builders.

Every element here — from InfluxDB time ranges to AI-written summaries — was built through a development style we call:

📘 Programming by Word

Instead of coding everything line by line, we described exactly what we wanted:

“Can the overlay calculate PV efficiency dynamically?”
“Can we simulate a geothermal loop using real-time weather?”
“Can we visualize RSS feeds with an ECharts treemap?”
“Can AI write a twice-daily HVAC industry briefing from streaming inputs?”

These prompts became scripts, plugins, visualizations, and a whole new way to engineer.

Explore the System

Questions or Ideas?

📬 Edward H. Brzezowski – Email | LinkedIn

📍 Updated: May 8, 2025