Day-Ahead Price
Daily average market clearing price derived from the DAM workbook.
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Agis Koumentakos
Energy modelling, forecasting, and market analysis.
More than eight years of experience across the energy industry. Specialising in power and gas market modelling, optimisation, forecasting, data science and power trading.Currently a Manager in energy consulting, with a focus on energy modelling.
Energy Data
Daily Energy Plots
Last month's DAM data.
2026-06-01 to 2026-07-01
Total Daily Load
Aggregated daily load based on the available DAM load categories.
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Selected Supply Categories
Daily traded volumes for selected supply-side DAM categories.
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Load Forecast
Actual vs Forecast Load
Three-day load forecasts trained from historical DAM load and Athens weather features.
HV Load Forecast
Last 7 days of DAM load, latest archived D-1 forecast, and the next 3 forecast days.
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Historical D-1 performanceMAE 34.428RMSE 41.923MAPE 4.084%N 144
MV Load Forecast
Last 7 days of DAM load, latest archived D-1 forecast, and the next 3 forecast days.
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Historical D-1 performanceMAE 123.396RMSE 166.756MAPE 8.661%N 144
LV Load Forecast
Last 7 days of DAM load, latest archived D-1 forecast, and the next 3 forecast days.
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Historical D-1 performanceMAE 182.588RMSE 253.194MAPE 4.439%N 144
Losses Load Forecast
Last 7 days of DAM load, latest archived D-1 forecast, and the next 3 forecast days.
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Historical D-1 performanceMAE 11.207RMSE 13.654MAPE 10.918%N 144
Weather Data
Athens Temperature Plot
Hourly temperature series built from Open-Meteo historical and forecast weather data.
Hourly Temperature in Athens
Observed hourly temperature for the last 10 days and forecast temperature for the next 3 days.
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Services
Technical work grounded in energy market practice.
The focus is on modelling, forecasting, analysis, and decision support shaped by work across consulting, trading, and applied energy analytics roles.
Core
Energy market modelling
Work on energy market optimisation models for power, gas, and hydrogen systems at Hellenic, regional, and pan-European level, including large-scale energy modelling projects.
- Long-, medium-, and short-term simulations
- Adequacy, expansion, feasibility, and CBA studies
- Technical modelling around generation, storage, and transmission
Applied
Forecasting and data science
Applied data science and machine learning work for power and gas demand and price forecasting, supported by quantitative training and hands-on project experience.
- Demand and price forecasting
- ML and data analysis workflows
- Data reporting and analytics automations
Markets
Power markets and trading analytics
Experience in power trading support, market analysis, weather analysis, PnL reporting, and speculative trading across several European power markets.
- Quantitative power trading support
- Market products and fundamentals analysis
- Electricity price forecasting and market reporting
Core
Energy consulting and decision support
Consulting work across private and public sector projects, including analysis, proposals, project coordination, presentations, and energy-related analytical tools.
- Project management and proposals
- Presentations and board-facing communication
- Data tools and internal analytical projects
Approach
A practical workflow from question to analytical output.
The approach combines sector understanding, quantitative work, and clear communication shaped by experience across consulting, analytics, and trading environments.
Understand and frame the problem
Sector experience helps connect the commercial, regulatory, technical, and operational parts of a problem so the scope, assumptions, constraints, and decision context are defined clearly from the start.
Translate the problem into an analytical model
The next step is to translate the problem into a data, mathematical, or economic framework, select the most suitable method, whether statistical, optimisation-based, or machine-learning-driven, and use it to work toward a solution.
Translate the solution into business action
The final step is to turn the analytical result into business implications, decisions, actions, or tools that can be used in practice.
Domains
Areas where the experience is most established.
The emphasis is on power and gas systems, forecasting, optimisation, and energy-related analytical work.
Markets
Power, gas, and hydrogen systems
Direct experience with power, gas, and hydrogen modelling work, including market optimisation models and system-level analysis.
- Power market modelling
- Gas and hydrogen system analysis
- Hellenic, regional, and pan-European scope
Forecasting
Demand, price, and analytical forecasting
Forecasting work appears both in professional roles and academic work, including price and demand forecasting supported by ML, classical methods, and neural-network approaches.
- Power and gas demand forecasting
- Electricity price forecasting
- ML and analytics prototypes
Applied analytics
Data science, optimisation, and reporting
A combination of data analysis, mathematical modelling, optimisation, reporting, and practical business-facing analytics in energy settings.
- Data analysis and visualization
- Optimization and modelling
- Reports, presentations, and internal tools
Published work
Selected publications and written contributions.
A selection of published work related to energy systems, electricity markets, gas infrastructure, and maritime energy applications.
2024
CESEC's region potential for renewable and low-carbon gas deployment in the context of infrastructure development
Publication on renewable and low-carbon gas deployment in the CESEC region in relation to infrastructure development.
2021
Energy Management Portfolio for Electric Utilities
A written contribution on electricity market portfolio management within a broader volume on mathematical modelling of contemporary electricity markets.
2019
Developments in Electric and Green Marine Ships
Published work on developments in electric and green marine ships and the broader energy transition in maritime applications.
About
A profile built across modelling, analytics, trading, and energy consulting.
Agis Koumentakos combines engineering, energy economics, and data science training with eight years of experience across energy market modelling, analytics, power trading, and consulting.
Eight years across modelling, analytics, trading, and consulting.
Agis Koumentakos is experienced in the energy sector across energy modelling, data science and optimisation along with energy consulting. Currently he is a Manager in energy modelling and analytics, where he leads projects and teams in subjects as power and gas markets, energy modelling, and analytics. His professional and academic background combines mechanical engineering, energy economics, and data science, with strengths in quantitative analysis,power trading, structured problem solving, and large energy modelling projects.
- Eight years of experience across energy modelling, analytics, trading, and consulting
- Domain work spanning power, gas, hydrogen, forecasting, and optimisation
- Strengths in quantitative analysis, structured problem solving, and large energy modelling projects
Technical work tied to concrete use cases
The work is centred on modelling, forecasting, and analytics applied to practical energy market, system, and business questions.
Analytical depth without unnecessary complexity
The focus is on methods that are useful for the problem at hand, whether in optimisation, forecasting, market analysis, or reporting.
Teamwork and decision-focused delivery
The work combines analytical depth with presentations, project coordination, and consulting-oriented delivery in collaborative environments.
Contact
Reach out for energy modelling, analytics, forecasting or anything else around energy!
Contact details can be found here.