Publication

Swiss electricity system modeling -- HV grid - hydropower topology and inflows - renewable productions - past and forecast meteorological data

2025

Abstract

This dataset contains several useful components for Swiss Electricity system modeling:

High-voltage Swiss grid: 2019 snapshot of the high-voltage (>150kV) grid composed of : Nodes: names, voltage, position. Lines: ends nodes, resistance, power capacity. Transformers: ends nodes, power capacity, resistance, tap ratio. Hydropower topology : Representative description of Swiss reservoirs and plants (2019) composed of: Plants: Lower reservoir, Upper reservoir, pump/turbine, debit, power capacity. Reservoirs: Volume, altitude, position, canton. Inflows into all the reservoirs: hourly time series post-processed from PREVAH model outputs from 2009 to 2019.

Wind production per node: COSMO-1 data processed and scaled to match SFOE annual production.

Solar irradiance maps projected onto tilted surfaces: hourly time series for 35° and 65° tilts, azimuth 180°. (same method as Frischholz, Y. (2025))

Processed ERA5 (historical), ECMWF SEAS5 (seasonal forecast) and ECMWF TIGGE (short-term forecast):

ERA5 Land: For inflow forecast model: historical runoff, snow depth, temperature and total precipitation per catchment (hourly, 2009-2019). For residual demand forecast model: historical temperature, u-v wind, ssrd per country (CH, AT, DE, FR, IT, hourly 2015-2019) ECMWF SEAS5: For inflow forecast model: same variables as ERA5 (yearly forecast starting from every 1st day of every month in 2019). For residual demand forecast model: same variables as ERA5 (yearly forecast starting from every 1st day of every month in 2019). ECMWF TIGGE: For inflow forecast model: same variables as ERA5 (two weeks forecast starting from every 1st day of every week in 2019). For residual demand forecast model: same variables as ERA5 (two weeks forecast starting from every 1st day of every week in 2019). Run-of-river production per electricity node: 15-min resolution run-of-river production time-series (15min, 2009-2019). Raw data and documentation can be found on [https://data.sccer-jasm.ch/runofriver_production/2017-10-16/].

Official source

https://infoscience.epfl.ch/entities/publication/b220998a-032a-4345-8d17-5bbf828b7483

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

2025

Abstract

This dataset contains several useful components for Swiss Electricity system modeling:

Wind production per node: COSMO-1 data processed and scaled to match SFOE annual production.

Solar irradiance maps projected onto tilted surfaces: hourly time series for 35° and 65° tilts, azimuth 180°. (same method as Frischholz, Y. (2025))

Processed ERA5 (historical), ECMWF SEAS5 (seasonal forecast) and ECMWF TIGGE (short-term forecast):

Official source

https://infoscience.epfl.ch/entities/publication/b220998a-032a-4345-8d17-5bbf828b7483

About this result

Related concepts (32)

Wind power forecasting

A wind power forecast corresponds to an estimate of the expected production of one or more wind turbines (referred to as a wind farm) in the near future, up to a year. Forecast are usually expressed in terms of the available power of the wind farm, occasionally in units of energy, indicating the power production potential over a time interval.

Weather forecasting

Weather forecasting is the application of science and technology to predict the conditions of the atmosphere for a given location and time. People have attempted to predict the weather informally for millennia and formally since the 19th century. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere, land, and ocean and using meteorology to project how the atmosphere will change at a given place.

Forecasting

Forecasting is the process of making predictions based on past and present data. Later these can be compared (resolved) against what happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis. Prediction is a similar but more general term. Forecasting might refer to specific formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods or the process of prediction and resolution itself.

Related publications (31)

Swiss electricity system modeling -- HV grid - hydropower topology and inflows - renewable productions - past and forecast meteorological data

Chat with Graph Search

Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study

Stability assessment of layer-by-layer nanofiltration membranes for element recovery from highly acidic media

Modeling partial shading at the cell level on photovoltaic modules