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CourseEnergy and Networks Applications open

EMS Course in Hybrid Renewable Plants

Online 300-hour course in EMS for hybrid renewable plants. 6 modules covering Regulation (EU) No 1227/2011 (wholesale energy market integrity and transparency, REMIT), Regulation (EU) 2017/2195 (electricity balancing) and Python (Pyomo). Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Identify the economic objectives of an EMS in electricity markets.

02

Develop price and generation forecasts for scheduling.

03

Formulate MILP and stochastic optimisation problems for plants with storage.

04

Build bidding strategies for day-ahead, intraday and balancing markets.

05

Evaluate strategies through backtesting and ex post analysis.

06

Deploy the EMS with governance and cybersecurity criteria.

07

Design a revenue optimiser for a renewable plant with storage.

Profile

Who it's for

  • Energy optimisation engineer who wants to specialise in EMS for hybrid renewable plants.
  • Renewable energy trader who wants to specialise in EMS for hybrid renewable plants.
  • Data scientist in electricity markets who wants to specialise in EMS for hybrid renewable plants.
  • EMS developer who wants to specialise in EMS for hybrid renewable plants.
  • Market operations analyst who wants to specialise in EMS for hybrid renewable plants.
  • Renewable portfolio manager who wants to specialise in EMS for hybrid renewable plants.
  • Engineering or science graduates looking to enter the renewables sector.
Standards & tools

What you'll work with

  • Regulation (EU) No 1227/2011 (Wholesale Energy Market Integrity and Transparency, REMIT)
  • Regulation (EU) 2017/2195 (Electricity Balancing)
  • Regulation (EU) 2019/943 (Internal Market for Electricity)
  • OMIE Day-Ahead and Intraday Market Operating Rules
  • Operating Procedures 3.1 and 7.2 of Red Eléctrica
  • Law 24/2013 on the Electricity Sector
  • IEC 62443 (Industrial CyberSecurity)
Syllabus

6 modules · 300 h

  1. 1.1Functions of the EMS in the business
  2. 1.2Day-ahead and intraday markets
  3. 1.3Balancing markets
  4. 1.4Imbalances and their cost
  5. 1.5Technical constraints of the operator
  6. 1.6Price signals
  7. 1.7Multi-criteria operating objectives
  8. 1.8Relationship with the market representative
  9. 1.9Data architecture
  10. 1.10Case study: revenues of a plant in the Iberian market (MIBEL)
  1. 2.1Price forecasting
  2. 2.2Solar and wind forecasting
  3. 2.3Probabilistic quantile forecasts
  4. 2.4Scenario generation
  5. 2.5Error metrics
  6. 2.6Intraday forecast updating
  7. 2.7Forecasting of auxiliary consumption
  8. 2.8Meteorological data sources
  9. 2.9Model combination
  10. 2.10Laboratory: price forecasting with LightGBM
  1. 3.1MILP formulation of the problem
  2. 3.2Battery model with degradation
  3. 3.3Evacuation constraints
  4. 3.4Stochastic optimisation with scenarios
  5. 3.5Robust optimisation under uncertainty
  6. 3.6Dynamic programming for storage
  7. 3.7Gurobi and HiGHS solvers
  8. 3.8Computation times
  9. 3.9Solution validation
  10. 3.10Practice: MILP optimisation with Pyomo
  1. 4.1Building bids
  2. 4.2Complex and block bids
  3. 4.3Continuous intraday market
  4. 4.4Secondary and tertiary regulation
  5. 4.5Revenue stacking
  6. 4.6Position management
  7. 4.7Settlement and revenue calculation
  8. 4.8Ex post analysis
  9. 4.9Reinforcement learning
  10. 4.10Workshop: bidding strategy for a typical day
  1. 5.1Software architecture
  2. 5.2SCADA integration
  3. 5.3Market APIs
  4. 5.4KPI monitoring
  5. 5.5Strategy backtesting
  6. 5.6Model governance
  7. 5.7Cybersecurity of the bidding system
  8. 5.8Scaling to a portfolio
  9. 5.9Vendor management
  10. 5.10Case study: backtesting one year of operation
  1. 6.1Definition of the plant and markets
  2. 6.2Starting data
  3. 6.3Forecasting models
  4. 6.4Optimiser formulation
  5. 6.5Bidding strategy
  6. 6.6Backtesting of results
  7. 6.7Sensitivity analysis
  8. 6.8Deployment architecture
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

A 100% online course on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the course with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (Pyomo), Gurobi, HiGHS, LightGBM, Apache Airflow, in free, academic or evaluation versions. Case studies are based on real market price forecasting procedures, stochastic scheduling optimisation with batteries, and backtesting of bidding strategies. Assessment is continuous per module, plus the final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, ciber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Definition of the plant and markets

Identify the economic objectives of an EMS in electricity markets.

Starting data

Develop price and generation forecasts for scheduling.

Forecasting models

Formulate MILP and stochastic optimisation problems for plants with storage.

Optimiser formulation

Build bidding strategies for day-ahead, intraday and balancing markets.

Bidding strategy

Evaluate strategies through backtesting and ex post analysis.

Career opportunities

Where this takes you

Energy optimisation engineerRenewable energy traderData scientist in electricity marketsEMS developerMarket operations analystRenewable portfolio manager
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory texts.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme comprises 300 total hours spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You work with Python (Pyomo), Gurobi, HiGHS, LightGBM, Apache Airflow. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma upon passing the continuous assessment and the integrating project. This is in-house training, not an official title from the Ministry.

Yes. Modules passed in a Course or Postgraduate Diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.

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