LianderPower

Mon, 04 May 2026 00:00:00 +0000

LianderPower is an open dataset of anonymised historical time series from the electricity distribution grid of Liander, the largest distribution system operator in the Netherlands. It contains more than a decade of five-minute telemetry measurements (2013–2024), spanning aggregated substation measurements, solar and wind parks, and household consumption behaviour, complemented with historical weather data.

The dataset is intended for research into time series modelling, forecasting, imputation, and machine learning models for the electricity grid. All measurement series are aggregated and anonymised before release: it contains no customer data, exact asset locations, or grid topology, and locations are anonymised with random spatial jittering within 5 km.

LianderPower is released as a Parquet + Croissant distribution and published under the Creative Commons Attribution 4.0 International licence (CC BY 4.0). It is available on the Liander open data portal.

S4Casting

Mon, 04 May 2026 00:00:00 +0000

S4Casting is an open source forecasting toolkit I have been working on as part of my R&D work at Alliander, a Dutch energy network operator. It applies time series foundation models to energy forecasting, built around deep learning architectures such as State Space Models (S4 and selective SSMs, a.k.a. S6 / Mamba-style models) and Transformer variants.

The toolkit is designed for medium voltage power forecasting, with a focus on short-term forecasts up to two days ahead. It includes a distributed training loop, an evaluation and benchmarking pipeline, config-driven experiments for CPU and CUDA, and inference scripts for running trained models on new data.

Future S4Casting models will be integrated into the LF Energy OpenSTEF project, which provides reusable, automated machine learning pipelines for accurate and explainable short-term grid load forecasts.

The project is licensed under the Mozilla Public License 2.0 and maintained under the Alliander open source organisation on GitHub.

Projects | J.Loke

LianderPower

S4Casting