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The Energy Market Analysis and Forecasting training course in Jakarta is designed for energy professionals who want to enhance their ability to analyze market trends and forecast future energy prices and demands.

Jakarta

Fees: 9900
From: 09-11-2026
To: 20-11-2026

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 Jakarta provide professionals with advanced analytical tools and strategic insight to understand, evaluate, and anticipate trends in dynamic energy markets. Designed for energy analysts, planners, economists, policymakers, and business leaders, these programs focus on strengthening decision-making capabilities across conventional and emerging energy sectors within a global market context.

Participants explore the core principles of energy market analysis, including supply–demand dynamics, price formation mechanisms, market structures, and the impact of technological innovation on energy systems. The courses emphasize energy forecasting techniques, enabling participants to analyze historical data, identify market drivers, and develop short- and long-term projections using quantitative and qualitative models. Through applied case studies and scenario-based exercises, participants gain practical experience in interpreting market signals, assessing uncertainty, and evaluating investment and policy implications.

These energy analysis and forecasting training programs in Jakarta integrate economic theory with real-world application, covering topics such as fuel price volatility, power market modeling, energy transition dynamics, and risk assessment. Participants learn how to use forecasting outputs to support strategic planning, infrastructure development, and resource allocation decisions. The curriculum also highlights the role of data analytics, modeling tools, and scenario planning in navigating market complexity and supporting resilient energy strategies.

Attending these training courses in Jakarta offers professionals an interactive learning environment led by experienced energy market experts. Jakarta’s position within a rapidly evolving regional energy landscape enriches discussions on market integration, demand growth, and future energy pathways. By completing this specialization, participants emerge equipped with the analytical expertise and forecasting capabilities needed to interpret market developments, manage uncertainty, and contribute to informed, forward-looking energy decisions in an increasingly complex global energy economy.