Platform For Energy Forecasting (PEF) Strategic Project Roadmap
OpenProject Overview
In April 2018, the ESO initiated strategic transformation project to develop and implement state of art forecasting capability to deliver value to consumers by providing accurate possible, user-friendly comprehensive forecasts to our stakeholders to make informed decisions ahead of real-time
Our strategic forecasting project aims to replace our existing energy forecasting system (EFS) with an advanced cloud-based platform for energy forecasting (PEF) while designing & improving forecasting models, methodologies and apply advanced statistical learning & machine learning modelling techniques & automation.
On this page, you will find updates to the roadmap for the project.
Extras Table
| Key | Value |
|---|---|
| Update Frequency | Ad hoc |
Access and Licensing
Access conditions
Any controls, requirements, or pre-requisites surrounding access to data
Licence conditions
ESO
Data Quality
Aggregation Method
Any controls, requirements, or pre-requisites surrounding access to data
Organisational Lineage
The licensing conditions controlling access to the data
Risks
Considerations, risks, and constraints around making assumptions based on specific datasets. e.g data health score
Confidence Level
The level of confidence associated with a specific dataset
Units
The units in which energy is described within a dataset
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Datasets
PEF Energy Forecasting Strategic RoadMap - June 2020 Update
This pack is an update to PEF roadmap published in June 2019. In the updated roadmap, we have included high-level modelling approach, methodologies and forecasting accuracy improvements made so far. We would welcome the opportunity to discuss our project, platform, modelling approach and demonstrate this technology in action