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The Energy Market Analysis and Forecasting in Amsterdam is a professional training course that equips participants with tools to understand energy dynamics and predict market trends.

Amsterdam

Fees: 9900
From: 14-09-2026
To: 25-09-2026

Energy Market Analysis and Forecasting

Course Overview

Energy markets are shaped by complex factors including supply-demand dynamics, geopolitics, technological change, and the energy transition. Accurate analysis and forecasting are critical for managing risks, guiding investments, and ensuring resilience in a volatile sector.

This course provides a structured approach to energy economics, market modeling, and forecasting techniques. Participants will explore oil, gas, electricity, and renewables markets, applying quantitative and qualitative methods to predict trends and assess risks.

At EuroQuest International Training, the program combines economic models, forecasting tools, and case studies from global energy markets, ensuring participants gain both analytical depth and strategic perspective.

Key Benefits of Attending

  • Understand global energy market drivers and trends

  • Apply forecasting models for oil, gas, and renewable markets

  • Strengthen risk management in volatile energy sectors

  • Evaluate investment and trading opportunities with data insights

  • Develop strategies aligned with the global energy transition

Why Attend

This course enables professionals to transform market data into foresight, providing clarity for strategic decisions in energy trading, policy, and investment.

Course Methodology

  • Expert-led lectures on energy economics and forecasting

  • Hands-on labs with forecasting tools and datasets

  • Case studies from global oil, gas, and renewable markets

  • Group scenario-planning workshops

  • Interactive simulations of trading and investment decisions

Course Objectives

By the end of this ten-day training course, participants will be able to:

  • Interpret key supply and demand drivers in energy markets

  • Apply econometric and statistical models for forecasting

  • Analyze the impact of geopolitical and regulatory changes

  • Assess the role of renewables in shaping future markets

  • Use scenario planning to prepare for uncertainty

  • Evaluate risks and opportunities in energy trading

  • Forecast short, medium, and long-term energy price trends

  • Translate market insights into strategic recommendations

  • Build dashboards and visualization tools for executives

  • Strengthen resilience in investment and policy decisions

  • Integrate sustainability factors into market analysis

  • Develop a roadmap for continuous market monitoring

Target Audience

  • Energy analysts and economists

  • Oil, gas, and renewable energy professionals

  • Trading and investment managers

  • Policy makers and regulators in energy sectors

  • Strategy and risk management professionals

Target Competencies

  • Energy economics and market interpretation

  • Forecasting and scenario modeling

  • Risk and uncertainty management

  • Strategic energy investment analysis

  • Policy and regulatory awareness

  • Communication of analytical insights

  • Decision-making under volatility

Course Outline

Unit 1: Introduction to Energy Markets

  • Global supply-demand fundamentals

  • Structure of oil, gas, and electricity markets

  • Role of renewables and emerging technologies

  • Current global energy trends

Unit 2: Energy Economics and Price Drivers

  • Economic principles in energy markets

  • Demand elasticity and consumption patterns

  • Price formation in oil, gas, and power

  • Impact of substitutes and energy transition

Unit 3: Geopolitical and Policy Influences

  • Role of OPEC and other alliances

  • Energy security and geopolitics

  • Impact of regulation and subsidies

  • Case studies of market disruptions

Unit 4: Data Sources and Analytical Tools

  • Key datasets for energy markets

  • Forecasting software and platforms

  • Building robust data pipelines

  • Challenges in energy data quality

Unit 5: Forecasting Techniques I – Fundamentals

  • Time series methods for energy markets

  • Moving averages and exponential smoothing

  • Regression models for price forecasting

  • Short-term vs long-term forecasting

Unit 6: Forecasting Techniques II – Advanced

  • ARIMA and advanced econometric models

  • Scenario-based forecasting approaches

  • Monte Carlo simulation for uncertainty

  • Integrating macroeconomic indicators

Unit 7: Oil and Gas Market Forecasting

  • Crude oil demand and supply modeling

  • Natural gas markets and LNG dynamics

  • Refining and downstream forecasting

  • Energy transition impacts

Unit 8: Electricity and Renewables Forecasting

  • Load forecasting for electricity markets

  • Renewables integration challenges

  • Storage and smart grid impacts

  • Policy and investment implications

Unit 9: Risk and Uncertainty in Energy Forecasting

  • Identifying sources of uncertainty

  • Sensitivity and stress testing

  • Risk-adjusted decision frameworks

  • Case studies in risk management

Unit 10: Energy Trading and Investment Decisions

  • Linking forecasts to trading strategies

  • Evaluating investment opportunities

  • Portfolio diversification in energy assets

  • ROI measurement and evaluation

Unit 11: Communicating Forecasts to Stakeholders

  • Designing executive dashboards and reports

  • Data storytelling for decision-making

  • Translating analytics into strategic insights

  • Influencing boards and investors

Unit 12: Capstone Market Forecasting Project

  • Group forecasting exercise for oil, gas, and renewables

  • Scenario analysis and simulation

  • Presentation of findings to a mock board

  • Action plan for strategic adoption

Closing Call to Action

Join this ten-day training course to master energy market analysis and forecasting, equipping yourself to anticipate trends, mitigate risks, and guide high-value decisions.

Energy Market Analysis and Forecasting

The Energy Market Analysis and Forecasting Training Courses in Amsterdam equip professionals with the analytical tools and strategic insights needed to understand market dynamics, forecast energy trends, and support informed investment and policy decisions. Designed for energy economists, analysts, traders, and business strategists, these programs focus on applying data analytics, modeling, and economic frameworks to assess global and regional energy markets.

Participants gain a comprehensive understanding of energy market analysis, exploring how supply and demand fundamentals, pricing mechanisms, and geopolitical factors influence market behavior. The courses cover key topics such as energy price modeling, scenario forecasting, renewable integration, and market simulation techniques. Through hands-on exercises and case studies, attendees learn to use forecasting tools and econometric models to predict energy demand, price volatility, and policy impacts with accuracy and confidence.

These energy forecasting and market analytics training programs in Amsterdam combine economic theory with data science and practical market applications. Participants explore how artificial intelligence, machine learning, and big data are transforming energy forecasting and trading strategies. The curriculum also emphasizes regulatory analysis, risk management, and sustainability—ensuring participants can align market insights with long-term energy transition objectives and investment priorities.

Attending these training courses in Amsterdam offers professionals the opportunity to collaborate with leading experts and peers in one of Europe’s premier centers for energy innovation and economic research. The city’s strong focus on clean energy, digitalization, and policy development makes it an ideal setting for mastering energy market analytics. By completing this specialization, participants will be equipped to interpret market signals, forecast trends, and design strategies that enhance competitiveness, resilience, and sustainability in the rapidly evolving global energy marketplace.