This is the data for the first of three National Grid Electricity Distribution (NGED) short data challenges! The aims of these challenges include: - Demonstrating the value in making data openly available - Increasing the visibility of some of the challenges network operators face - Increase the understanding of the different ways to tackle some of these problems - Providing high quality and accurate benchmarks with which to enable innovation and research Note all the slides from the kick-off and other information can be found on our LinkedIn group: https://www.linkedin.com/groups/9025332/ This initial challenge aims to understand how accurately high resolution features can be estimated given only information from lower resolution data. Specifically we are asking participants to estimate the highest peak value and lowest trough at a one minute resolution within each half hourly period given only half hourly measurements. This is an interesting problem to a distribution network operator as the spikes in demand can mean strain on their network. Such issues may become increasingly common, especially on the lower voltages of the network, due to the expanding use of lower carbon technologies such as electric vehicles, and heat pumps. However, monitoring can be expensive (especially in the long term) as it requires investment in additional storage, communications equipment and processing units.

This is the second of three National Grid Electricity Distribution (NGED) short data challenges! The aims of these challenges include: 1. Demonstrating the value in making data openly available 2. Increasing the visibility of some of the challenges network operators face 3. Increase the understanding of the different ways to tackle some of these problems 4. Providing high quality and accurate benchmarks with which to enable innovation and research This challenge aims to estimate the increased demand created on primary substations by the installation of electric vehicle (EV) chargers. High uptakes of EVs will cause more strain on the distribution networks, especially at the low voltage level where there is limited headroom for high demand technologies such as EVs. Unfortunately, the amount of EV chargers installed, and hence the potential extra demand on a network, may be unknown, even to a distribution network operator (DNOs). However, DNOs do monitor the demand at the substation level and this shows the aggregated demand from all connected appliances and, in addition, many DNOs do have example data for EV demand. The ask for this challenge is whether this information can be combined with other data to help predict the increased demand generated from EV chargers on a network. All the slides from the kick-off and other information can be found on the [LinkedIn group](https://www.linkedin.com/groups/9025332/) and the recording from the kick-off event will be uploaded shortly after the event. The challenge page is here: https://codalab.lisn.upsaclay.fr/competitions/1324

This is the final of three National Grid Electricity Distribution (NGED) short data challenges! The aims of these challenges include: 1. Demonstrating the value in making data openly available 2. Increasing the visibility of some of the challenges network operators face 3. Increase the understanding of the different ways to tackle some of these problems 4. Providing high quality and accurate benchmarks with which to enable innovation and research This final challenge is a unique spin on the traditional missing data problem which considers different scenarios for missing data across the hierarchy of a distribution network (Primary up to grid supply point). Traditional missing data problems typically focus on an isolated time series and often require imputation approaches based on local measurements. In this challenge, we are asking participants to utilise monitoring data across the network (as well as weather and other publicly available data) to solve various missing data scenarios which extend the problem to situations where multiple connected substations may lose data. All the slides from the kick-off and other information can be found on the [LinkedIn group](https://www.linkedin.com/groups/9025332/) and the recording from the kick-off event will be uploaded shortly after the event.