Scientific portfolio · Energy systems analytics

Eduardo SalazarAlava

Portrait of Eduardo Salazar Alava wearing a grey blazer
Senior ResearcherIREC · Barcelona

Research at the edge of models and reality.

From responsive buildings to active grids, the question is the same: how can energy systems learn safely?

Research coordinates

01Demand response02Safe reinforcement learning03Building flexibility04Photovoltaic systems05Active distribution grids06Probabilistic forecasting

Selected publications & preprints

Ideas tested, published, and made useful.

Full ORCID record
2026PreprintRolling-Horizon Conic Co-Planning of Wires and Non-Wires for Active Distribution NetworksSSRN working paper · 70868042026PreprintSequential Aggregation of Building Demand Flexibility: A Comfort- and Service-Aware FrameworkSSRN working paper · 67550362026PreprintTechno-Economic Assessment of Fixed-Tilt Photovoltaic Design Under DC/AC Ratio and Inverter Clipping ConstraintsSSRN working paper · 68536162025Journal articleEmerging Trends in Active Distribution Network Fault DetectionRenewable Energy Focus · Vol. 53 · 1006842024Journal articleDemand response model: A cooperative-competitive multi-agent reinforcement learning approachEngineering Applications of Artificial Intelligence · 1082732024IEEE paperAdvanced Grid-Tied Inverter Modeling in Matlab-Simulink for Protection Studies in Modern Distribution NetworksIEEE Power & Energy Society General Meeting2024Proceedings paperImpact of Distributed Generation Integration on Protection Devices: A Case Study in the CIGRE European Medium Voltage NetworkEngineering Proceedings · 77(1) · 92023Journal articleDay-Ahead Operational Planning for DisCos Based on Demand Response Flexibility and Volt/Var ControlEnergies · 16(20) · 70452023Journal articleDynamic customer demand management: A reinforcement learning model based on real-time pricing and incentivesRenewable Energy Focus · Vol. 46 · 39–562023Journal articleReinforcement Learning-Based Pricing and Incentive Strategy for Demand Response in Smart GridsEnergies · 16(3) · 14662023Journal articleChallenges and opportunities of zonal transmission planning in Chile considering particularities of the distribution systemIngeniare · Revista chilena de ingeniería · 312019Conference paperCálculo del Ángulo de Inclinación Óptimo para la Instalación de Paneles Fotovoltaicos en Parques SolaresXVIII Encuentro Regional Iberoamericano de CIGRÉ

Selected manuscripts · 2026

Current research manuscripts

  1. 01Physics-informed and safe reinforcement learning for power and energy systems: A critical review
  2. 02Probabilistic uncertainty quantification and explainable AI in electric load forecasting: A critical survey
  3. 03Bankability-Constrained Design Regret for Fixed-Tilt Photovoltaic DC/AC Sizing
  4. 04Learning-Guided Projection-Clean MPC with a Battery-Mode Prior for Residential PV-BESS-EV Energy Management

Research travels through conversation.

Selected papers, accepted contributions, and scientific service across energy economics, intelligent control, photovoltaic systems, and grid protection.

202601

UPADI-AI

Reinforcement Learning-Assisted Evolutionary Optimization for Distribution Network Operational Planning

Lima · Springer proceedings
202602

CIGRE Paris Session

Low-CAPEX Incentive-Based Demand Response Scheme for Conventional Distribution Networks

Paris · accepted
202603

ICECET

Physics-Informed Feature-Based Convolutional Network for Fault Classification and Section Localisation in Distribution Feeders

Rome · accepted full paper
202604

IECON Special Session

AI-Enabled Protection, Automation and Control for Digital Energy Systems

Doha · organizer & co-chair
202605

IEEE ARGENCON

Technical organization and scientific coordination across electrical engineering, power-systems, and energy tracks

San Juan · conference co-chair
202606

22nd European Energy Market

Market-Responsive Deep Reinforcement Learning for Resource Sharing in Energy Communities

EEM 2026
202507

8th APEEN Conference

Intelligent Energy Management Using Deep Reinforcement Learning

Covilhã · Portugal
202508

IEEE Kiel PowerTech

Deep Reinforcement Learning for Occupancy-Based Energy Management in Residential Demand Response

Kiel · Germany
202509

IEEE CHILECON

Dynamic and Fair Allocation of Shared Energy Resources in Energy Communities

Valparaíso · Chile
202510

XX ERIAC · CIGRÉ

Autonomous EV Charging Management Based on Reinforcement Learning

Ibero-American regional meeting
202411

IEEE PES General Meeting

Advanced Grid-Tied Inverter Modeling for Protection Studies

Seattle · United States
202412

XXXII JIEE

Impact of Distributed Generation Integration on Protection Devices

Quito · Ecuador
201913

XVIII ERIAC · CIGRÉ

Optimal tilt angle for photovoltaic panels in solar parks

Foz do Iguaçu · Brazil
IECON 2026 call for papers naming Eduardo J. Salazar as co-chair of the special session on AI-enabled digital energy systems
Scientific organization · 2026IECON special-session co-chairAI-enabled protection, automation, and control for digital energy systems · Doha, Qatar
ICECET 2026 programme screen listing Eduardo J. Salazar as an author of paper 695
Accepted contribution · 2026Physics-informed fault classificationICECET paper 695 · distribution-feeder fault classification and section localisation

Knowledge moves when it is shared.

Master’s and doctoral teaching, professional courses, mentoring, public webinars, and practical conversations about energy communities.

OTE Solartys webinar announcement for Digital and Intelligent Energy Communities with Pol Torres Álvarez and Eduardo J. Salazar
Webinar · 9 July 2026Digital and intelligent energy communitiesOTE Solartys · with Pol Torres Álvarez, EURECAT

Research built for real systems.

From a monitored community centre to distributed flexibility markets, these projects connect algorithms with live energy infrastructure.

Recognition, recorded carefully

A record of merit and service.

Documented recognition

Educational merit, doctoral excellence, and advanced professional training recognized across Ecuador, Argentina, and Europe.

Competitive project funding remains under Projects and is not presented here as a personal distinction.
National Assembly of Ecuador resolution granting Eduardo Javier Salazar Alava the Dr. Vicente Rocafuerte decoration for educational merit
2024 · National Assembly of Ecuador

Dr. Vicente Rocafuerte Educational Merit Decoration

Recognition of Eduardo Javier Salazar Alava for his contribution to education, science, and the training of future professionals.

Florence School of Regulation Certificate of Excellence presented to Eduardo Salazar
2025 · Florence School of Regulation · European University Institute

Certificate of Excellence · Regulation of the Power Sector

Advanced training recognition for the programme held from 24 March to 10 July 2025.

Energy systems · Artificial intelligence

Research depth for decisions that need to work.

Available for selected advisory, modelling, and applied-AI engagements with companies, public institutions, research teams, and energy communities.

01

Energy systems advisory

Flexibility, demand response, energy communities, distributed resources, photovoltaic systems, and active distribution-grid planning.

02

Applied AI for energy

Forecasting, optimisation, reinforcement learning, explainable models, and decision-support tools grounded in physical and operational constraints.

03

Technical & research strategy

Project design, model validation, technical review, research roadmaps, and translation between scientific evidence and implementation.

Direct contact

Have a project in mind?

Choose email or one of the professional links. For consulting enquiries, include the objective, expected scope, and timing when possible.