Modelling and Forecasting Energy Markets

About

Over the last two decades, international energy markets have witnessed major structural changes that have profoundly impacted energy prices. Factors such as market liberalisation, increased renewable energy production, rising demand from data centres, and extreme climate events have made demand and supply less predictable, leading to greater price volatility. Accurate modelling and forecasting of energy demand and prices is crucial, not only for energy producers but also for commodity traders and financial analysts. The statistical features of energy data, which tends to follow periodic patterns and exhibit spikes, non-constant means and non-constant variances, renders the task of forecasting and modelling of energy data somewhat challenging.

The objective of TStat’s “Modelling and Forecasting Energy Markets” course is to provide participants with the analytical tools to undertake a rigorous and in-depth analysis of both demand and prices for international energy markets. The programme covers a wide range of econometric methods, including univariate and multivariate time series models for forecasting prices and volatility and cointegration and panel data models for modelling and forecasting energy demand.

Aligned with TStat’s training philosophy, the teaching approach combines theoretical sessions, which provide the intuition behind the specific techniques, with numerous practical sessions utilising econometric software and real-world data. This structure allows course leaders to effectively bridge the gap between abstract theoretical methodologies and the practical issues encountered when working with real-world data.

By the end of the programme, participants will have acquired the skills to independently conduct comprehensive energy market analyses. They will be able to identify the most suitable econometric methods for their specific needs, assess the validity of their estimated models, and evaluate the robustness of their findings with confidence

Target group

Researchers and professionals working either in the energy and related sectors, needing to model energy price and demand or on trading desks in financial institutions. Economists based in research policy institutions. Students and researchers in engineering, econometrics and finance needing to learn the econometrics methods and tools applied in this field

Course aim

The objective of TStat’s “Modelling and Forecasting Energy Markets” course is to provide participants with the analytical tools to undertake a rigorous and in-depth analysis of both demand and prices for international energy markets. The programme covers a wide range of econometric methods, including univariate and multivariate time series models for forecasting prices and volatility and cointegration and panel data models for modelling and forecasting energy demand

Fee info