Analysis scripts, derived tables and deployment telemetry for "Telemetry design for a home energy management IoT platform: data channels, sampling interval and a send-on-delta bound for a production fleet"

This record accompanies the manuscript "Telemetry design for a home energy management IoT platform: data channels, sampling interval and a send-on-delta bound for a production fleet" (Brusan and Durmaz, submitted to Internet of Things, Elsevier, 2026). It contains everything needed to reproduce every figure and table of the manuscript. CONTENTS data/ — the deployment telemetry of sixteen home energy management installations in Türkiye, 29 December 2025 to 26 August 2026: _DevicePowerData__202608260534.csv (instantaneous power flow on the load, grid, solar, battery and generator channels, sampled every five minutes) and _DeviceEnergyData__202608260533.csv (daily and cumulative energy flow per channel, reported once a day by the inverter). Installations are identified by pseudonymous device identifiers only; no names, addresses or account data are included. analysis/v6/results/B0_device_map.csv maps the identifiers to the labels D1–D16 used in the manuscript. analysis/v6/ — the Python analysis scripts (A1–A9 for the public household records UK-DALE, REFIT and AMPds2; B0–B6 for the deployment; F_* for the schematic and UML figures), with README.md stating which script produces which figure and table, and RESULTS_A.md and RESULTS_B.md, which narrate every number in the manuscript with the CSV column it comes from. analysis/v6/results/ — the derived tables: spike inventories, detection probabilities by interval and sampling phase, daily-energy errors, storage model, knee and sensitivity analyses, send-on-delta baseline and diagnostics, region-of-day policy scores and transfer tests. figures/ — all figures of the manuscript, PNG and PDF. manuscript.md, supplementary.md — the submitted text and its supplement. CITATION.cff — citation metadata. NOT INCLUDED: the public household records, available from their publishers (UK-DALE: Kelly and Knottenbelt 2015, doi:10.1038/sdata.2015.7; REFIT: Murray et al. 2017, doi:10.1038/sdata.2016.122; AMPds2: Makonin et al. 2016, doi:10.1038/sdata.2016.37), and the source code of the cloud platform, access to which can be arranged on request from the corresponding author. REQUIREMENTS: Python 3.12 or later with numpy, pandas, matplotlib and Pillow. A7_send_on_delta.py compiles a small C kernel with gcc if available and falls back to numpy otherwise (identical results). Run the scripts from analysis/v6/; paths are set in v6_common.py and B0_common.py. LICENCE: CC BY 4.0. Please cite the manuscript when using the data or scripts. Other fields, for completeness: Resource type Dataset; Creators Brusan, Altay (Boğaziçi University) and Durmaz, F. Aytac (İstinye University); Keywords IoT telemetry, home energy management, sampling interval, send-on-delta, MQTT; Licence Creative Commons Attribution 4.0; Version v6. Confirm the reserved DOI reads 10.5281/zenodo.22143323, then Publish.