Home Energy Management under Tiered Peak Power Charges

Code and data to replicate all results in the paper.

Setup

Requires Gurobi and MOSEK licenses (free for academic use).

uv sync

Usage

uv run python run.py                    # Run everything
uv run python run.py --train            # Train forecasters only
uv run python run.py --experiments      # Run experiments only
uv run python run.py --figures          # Generate figures only

Individual experiments:

uv run python run.py --baseline         # Baseline policies
uv run python run.py --prescient        # Prescient optimization
uv run python run.py --mpc              # MPC policies
uv run python run.py --capacity         # Capacity sweep
uv run python run.py --sensitivity      # Sensitivity analysis

Results are saved to results/, figures to figures/.

Citing

@misc{perezpineiro2026home,
    title         = {Home Energy Management under Tiered Peak Power Charges},
    author        = {David P\'erez-Pi\~neiro and Sigurd Skogestad and Stephen Boyd},
    year          = {2026},
    eprint        = {2307.07580},
    archivePrefix = {arXiv},
    primaryClass  = {math.OC}
}