UK's Wind Energy Generation ⚡💨

UK's Wind Energy Generation ⚡💨

UK's Wind Energy Generation ⚡💨

Industry

Energy

Client

Energy tech company

Wind Power: Predicting UK's Energy Generation

About project

Forecasting UK's offshore and onshore wind power

This project tackles the challenge of forecasting wind power generation in the UK, encompassing both offshore and onshore wind farms.

Wind energy plays a critical role in this transition by offering a clean and abundant alternative to fossil fuels.

The UK has emerged as a leader in wind energy adoption, boasting over 14GW of installed capacity and a staggering 23GW planned for the future. However, one key hurdle remains: accurately predicting wind power output.

Problem

The Challenge of Wind Power Prediction

The very nature of wind makes it notoriously difficult to predict. Wind power generation fluctuates constantly due to a complex interplay of weather patterns, geographical location, and time of day. This unpredictability poses a significant challenge for grid management and ensuring a stable and reliable energy supply.

Solution

Our project addresses this challenge by developing an advanced machine learning model specifically designed for day-ahead wind power forecasting. This innovative model goes beyond existing solutions, like those used by Elexon, by incorporating a bias-correcting linear model. This refinement has resulted in a remarkable improvement in forecasting accuracy, exceeding Elexon's predictions by up to 57%.

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All rights reserved. © 2024 by Dean Shabi

All rights reserved. © 2024 by Dean Shabi

All rights reserved. © 2024 by Dean Shabi