README.md

# 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.