Keywords
time series, forecasting, electricity, api

Technologies
python, machine learning, sql

This project focuses on the development of a web-based platform for forecasting prices in the Irish Electricity Market. The platform is designed to both store and manage market data and generate future electricity price predictions using a range of predictive models. A key objective of the project is to compare the performance of different models in order to identify which approaches are most effective for forecasting electricity prices.

The website includes an API that provides structured access to all collected data and is documented according to the OpenAPI standard. It also features interactive visualizations that allow users to explore historical time series data in detail. In addition, the platform includes a model comparison page where users can evaluate forecasts made 24 hours ahead against actual Day Ahead Market prices. Performance metrics such as Mean Squared Error (MSE) and Bias are provided to support model evaluation and comparison.