| # Optimize Prime Dataset |
|
|
| ## # Optimise Prime Dataset Mirror |
|
|
| > Independent mirror of the public **Optimise Prime** release from **UK Power Networks**. |
|
|
| ## Important Attribution |
|
|
| This repository mirrors the **publicly released Optimise Prime dataset** only. |
|
|
| **Original source:** UK Power Networks, *Project Optimise Prime - Commercial Electric Vehicles Trial* |
| **Original dataset page:** `https://ukpowernetworks.opendatasoft.com/explore/dataset/ukpn-optimise-prime/` |
| **License:** CC BY 4.0 |
| **Attribution required:** Yes |
| **Mirror type:** Public-release mirror |
|
|
| This mirror does **not** include proprietary credentials, private companion files, or SAS tokens. |
|
|
| > **Disclaimer** |
| > This is an independent mirror for research and data access convenience. |
| > It is **not** an official UK Power Networks repository, and UK Power Networks does not endorse this mirror. |
|
|
| --- |
|
|
| ## Overview |
|
|
| This dataset comes from **Optimise Prime**, a major UK trial focused on the impact of commercial EVs on distribution networks. |
|
|
| The public release is organized into three workstreams: |
|
|
| - **WS1** — home charging / return-to-home fleet trial |
| - **WS2** — depot charging trial |
| - **WS3** — mixed / PHV network-impact modelling |
|
|
| For most grid, charging, and smart-control research, **WS2 is the core part**. |
| It contains the depot-side ecosystem: depots, charge points, EV and EV type records, building-load data, telematics, charger / iHost measurements, and smart-charging or flexibility configuration tables. |
|
|
| This mirror is meant to make the public release easier to access, browse, and use in research workflows. |
|
|
| --- |
|
|
| ## What This Mirror Contains |
|
|
| This repository contains the **public Optimise Prime release only**. |
|
|
| It includes large CSV collections organized by workstream and table, usually split by **month** or **day** depending on data volume. |
|
|
| The mirror covers data such as: |
|
|
| - depot asset records |
| - charge point and charge point type records |
| - EV and EV type records |
| - charging and telematics data |
| - building load data |
| - charger / iHost measurements |
| - profiled connection data |
| - flexibility planning and dispatch data |
| - summary and derived public tables released with the project |
|
|
| It does **not** include confidential, personally identifiable, or third-party licensed data that were excluded from the original public publication. |
|
|
| --- |
|
|
| ## Mirror Statistics |
|
|
| - **Total files:** 1,014 |
| - **Approximate total size:** 156,923.39 MB |
| - **Approximate size in GB:** 156.92 GB |
| - **Workstreams included:** WS1, WS2, WS3 |
|
|
| > **Note** |
| > Some hosting platforms may show a different total repository size because of chunking, storage accounting, cached revisions, or backend compression. |
|
|
| --- |
|
|
| ## Recommended Starting Point |
|
|
| If you are new to the dataset, start with these WS2 tables first: |
|
|
| - **Table 10 — depots** |
| - **Table 12 — chargepoints** |
| - **Table 14 — evehicles** |
| - **Table 19 — building-load-measures** |
| - **Table 21 / 22 — nortech-ihost-measurements** |
| - **Table 23 — profiled-connections** |
| - **Table 25 — planned-flexibility-events** |
| - **Table 26 — flexibility-dispatches** |
| - **Table 27 — depot load data table** |
| - **Table 32 — load profile data table** |
|
|
| That gives the cleanest entry point into the depot-side EV + site load + smart-charging part of the release. |
|
|
| --- |
|
|
| ## Repository Structure |
|
|
| ```text |
| optimise-prime/ |
| ├── WS1/ |
| │ ├── Table 06 – bg-fleet-charging/ |
| │ ├── Table 07 – bg-trips/ |
| │ └── Table 08 – aggregated shift telematics data/ |
| ├── WS2/ |
| │ ├── Table 10 – depots/ |
| │ ├── Table 11 – cptypes/ |
| │ ├── Table 12 – chargepoints/ |
| │ ├── Table 13 – evtypes/ |
| │ ├── Table 14 – evehicles/ |
| │ ├── Table 15 – brand-a-*/ |
| │ ├── Table 16 – brand-b-measures/ |
| │ ├── Table 17 – brand-b-measures/ |
| │ ├── Table 18 – brand-c-ev/ |
| │ ├── Table 19 – building-load-measures/ |
| │ ├── Table 20 – building-catalog/ |
| │ ├── Table 21 – nortech-ihost-measurements/ |
| │ ├── Table 22 – nortech-ihost-measurements/ |
| │ ├── Table 23 – profiled-connections/ |
| │ ├── Table 24 – time-of-use-throttling/ |
| │ ├── Table 25 – planned-flexibility-events/ |
| │ ├── Table 26 – flexibility-dispatches/ |
| │ ├── Table 27 – depot load data table/ |
| │ ├── Table 28 – EV details by site/ |
| │ ├── Table 29 – CP count/ |
| │ ├── Table 30 – enacted flexibility product A/ |
| │ ├── Table 31 – enacted flexibility product B/ |
| │ └── Table 32 – load profile data table/ |
| └── WS3/ |
| └── Table 33 – network_impact_by_borough/ |
| ``` |
|
|
| --- |
|
|
| ## Usage |
|
|
| ### Load with Hugging Face Datasets |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("<AIsekai/OptimizePrime>") |
| ``` |
|
|
| ### Load files directly with pandas |
|
|
| ```python |
| import pandas as pd |
| |
| df = pd.read_csv("WS2/Table 10 – depots/depots_202111.csv") |
| ``` |
|
|
| ### Practical Note |
|
|
| Some tables are very large. For serious work, use tools such as: |
|
|
| - pandas / polars |
| - DuckDB |
| - PyArrow |
| - Dask / Spark |
| - SQL-based ingestion pipelines |
|
|
| Do **not** expect the full release to open comfortably in Excel. |
|
|
| --- |
|
|
| ## What This Dataset Is Good For |
|
|
| This dataset is especially useful for: |
|
|
| - commercial EV charging research |
| - depot smart charging |
| - flexibility and profiled-connection studies |
| - EV fleet load modelling |
| - building-load and EV-load interaction |
| - UK distribution-network impact studies |
| - forecasting, optimisation, and control workflows |
|
|
| --- |
|
|
| ## Limitations |
|
|
| This mirror reflects the **public release only**. |
|
|
| That means some information used in the original project is **not included** here, especially where data was: |
|
|
| - commercially confidential |
| - potentially personally identifiable |
| - licensed from third parties |
|
|
| So this repository is strong for research, but it is not the full private internal project dataset. |
|
|
| --- |
|
|
| ## License |
|
|
| **License:** CC BY 4.0 |
| **License URL:** `https://creativecommons.org/licenses/by/4.0/` |
|
|
| You may share and adapt the material, provided that proper attribution is given. |
|
|
| ### Required Attribution |
|
|
| Please attribute the original source as: |
|
|
| > UK Power Networks, *Project Optimise Prime - Commercial Electric Vehicles Trial* |
| > Original dataset page: `https://ukpowernetworks.opendatasoft.com/explore/dataset/ukpn-optimise-prime/` |
| > License: CC BY 4.0 |
|
|
| If you use this mirror in research, papers, reports, or derivative datasets, please also mention that this repository is an **independent mirror of the public release**. |
|
|
| --- |
|
|
| ## Citation |
|
|
| Suggested citation: |
|
|
| ```text |
| UK Power Networks. Project Optimise Prime - Commercial Electric Vehicles Trial. |
| Public dataset release via UK Power Networks Open Data Portal. |
| License: CC BY 4.0. |
| Mirrored in this repository from the public release. |
| ``` |
|
|
| --- |
|
|
| ## Contact |
|
|
| For questions about the **original dataset**, use the UK Power Networks Open Data Portal and its listed contact route. |
|
|
| For issues with **this mirror** such as missing files, path errors, or repository organization, please open an issue in this repository. |
|
|
|
|