Day 16 – Modules + Adding BACpypes3 CLI Args | Preparing Real BACnet Apps (Theory + Vibe Code)

Day 15 – Functions + Starting BAC0 → BACpypes3 Migration | Checkpoint 3 Begins (Theory + Vibe Code)

OpenFDD Dev Log #1 — Open-Source FDD Platform Progress Update

Day 14 – Advanced Loops + BACnet RPM Chunking | Avoiding Segmentation Errors (Theory + Vibe Code)

Day 13 – Tuples, Sets & Field-Ready BACnet CSV Logging | Retry + Header Rewrite (Theory + Vibe Code)

Day 12 – BACnet RPM CSV Logging with Daily Rotation | Production Raspberry Pi Scraper

Day 11 – Python Dictionaries for BACnet Engineers | Understanding Structured Data (Theory Day)

Day 11 – BACnet RPM with asyncio.gather | Data Structures Behind the Scenes (Vibe Coding Day)

Day 11 – BACnet RPM Multi-Device Scraper | Reading VAV + AHU While True Loop

Day 10 – String Methods + Continue BAC0 RPM App

Day 9 – Python Control Flow & BACnet Priority Arrays (Theory Day)

Day 9 – Vibe coding BAC0 RPM for the Checkpoint 2

Day 8 – Python Loops + BAC0 ReadPropertyMultiple | Theory Lecture Day 8

Day 7 – Python List Methods for BACnet Engineers | Append, Remove, Sort, Copy (Theory Day)

Day 7 – BACnet Vibe Coding Checkpoint 1 | WHO-IS Discovery, Read, Write, and Release with BAC0

Day 6 – Python Lists + Real BACnet WHO-IS Discovery | Auto-Find Devices with BAC0 (Vibe Coding)

Day 5 – User Input and Output in Python + BACnet Vibe Coding with WHO-IS Discovery (BAC0)

Day 4 – Booleans, Comparisons, and Alarm Logic in Python | Smart BACnet Read Script with BAC0

Day 3 – Python Strings + Your First BACnet Read Request with BAC0 | Talking to Real Devices

Day 2 – Python Variables and Arithmetic for HVAC | BACnet + Python Beginner Course

BACnet with Python Day 1 – Installing Python, BAC0 & bacpypes3

Day 34 & 35: Coding Model 4 Safely + Full Optimal Start Model Review (0, 1, 2, 4)

Day 32 & 33: Coast-to-Stop Effect and Logarithmic vs Quadratic Optimal Start Models

Day 31: Calculating the Model 4 Decay Rate (α₄,c) from Real Warm-Up Data

Bonus Days 13 & 14: Making Model 4 Production-Safe — Guardrails, EMA, and End-to-End Logic

Bonus Day 12: Computing Model 4 Optimal Start Time from a Real Startup Window

Bonus Days 10 & 11: Deadband Policy + Estimating System Strength (c) from Real Data

Bonus Day 9: Exponentials and Logs — Solving “Time to Target” in Model 4

Bonus Day 8: First-Order Response Intuition — Why Model 4 Feels Like Real HVAC

Bonus Days 6 & 7: Model 3 End-to-End — Manual Math vs NumPy and scikit-learn (Same Results)

Bonus Days 4 & 5: Solving Linear Systems by Hand — Gaussian Elimination vs Cramer’s Rule

Bonus Day 3: Matrix Multiplication — The Engine Behind Model 3 Regression

Bonus Day 2: Matrices & Transpose — Why Model 3 Math Needs This

Bonus Day 1: Model 3 & 4 Math From Scratch (64-Day Challenge Continues)

Day 29 & 30: From Thermal Capacitors to Logarithms — Understanding Model 4 Optimal Start Behavior

Day 26–28: PNNL Model 3 — Fixing Bad Coefficients, Preventing Overfitting, and Review

Day 25: Simple Matrix Multiplication and Normal Equation Intuition (XᵀX and Xᵀy)

Day 24: Multiple Regression for Optimal Start Explained (PNNL Model 3 Continued)

Day 23: The Big Equation: Building Model 3 Multiple-Regression Optimal Start

Day 22: Introducing the Weather Factor (WF) in PNNL Model 3 | Optimal Start Math with Python

Day 20 Recap: Weather Sensitivity, Model Performance, and Auto-Selecting Best Optimal Start Model

Day 20 & 21: Weather Sensitivity, Ratio Behavior, and When to Use Model 2 vs Model 1

Day 18 & 19: Model 2 Base Rate, Weather Ratio, and Full Double-Prediction Explained

Days 15–17: PNNL Model 2 Explained - Outdoor Temp Effects, Tref, and Weather Ratio

Day 14: Model 0 vs Model 1: Linear vs Quadratic Optimal Start (Week 2 Review)

Day 13: Self-Tuning Quadratic Optimal Start Model (EMA + Regression Explained)

Day 12: Solving for a and b by Hand | Manual Quadratic Regression for Optimal Start (Model 1)

Day 10 & 11: Quadratic Model Tuning and Simple Regression for Optimal Start (Python)

Day 8 & 9: Why Heat Transfer Isn’t Linear + The Dead-Time Intercept

Day 7: Calculating Error In Model Performance

Day 6: Simulating Optimal Start Model 0 by Hand with Python Using a Fake Future Occupancy Start Time

Day 5: How To Tune Alpha for EMA Smoothing

Day 4: Exponential Moving Average (EMA) Smoothing

Day 3: Quadratic Warm-Up Models in Python for Optimal-Start Math

Day 2: Fitting a Straight Line in Python – Optimal-Start Math Crash Course

Day 1: Getting Setup with Python and First Assignment Walkthrough

Deploying Optimal Start on a Live Niagara BAS (Vibe Coder .bog Example)

Decompiling Tridium’s Optimal Start + Announcing My Daily HVAC Math Challenge

GL36 VAV Box Zone Request Counter

HVAC Algorithm Fundamentals — The Building Blocks of Guideline 36