CIGRE Paris Session
Low-CAPEX Incentive-Based Demand Response Scheme for Conventional Distribution Networks
Scientific portfolio · Energy systems analytics

Profile
Research at the edge of models and reality.
Research coordinates
Publications
Selected publications & preprints
Selected manuscripts · 2026
Congresses
Selected papers, accepted contributions, and scientific service across energy economics, intelligent control, photovoltaic systems, and grid protection.
Reinforcement Learning-Assisted Evolutionary Optimization for Distribution Network Operational Planning
Low-CAPEX Incentive-Based Demand Response Scheme for Conventional Distribution Networks
Physics-Informed Feature-Based Convolutional Network for Fault Classification and Section Localisation in Distribution Feeders
AI-Enabled Protection, Automation and Control for Digital Energy Systems
Technical organization and scientific coordination across electrical engineering, power-systems, and energy tracks
Market-Responsive Deep Reinforcement Learning for Resource Sharing in Energy Communities
Intelligent Energy Management Using Deep Reinforcement Learning
Deep Reinforcement Learning for Occupancy-Based Energy Management in Residential Demand Response
Dynamic and Fair Allocation of Shared Energy Resources in Energy Communities
Autonomous EV Charging Management Based on Reinforcement Learning
Advanced Grid-Tied Inverter Modeling for Protection Studies
Impact of Distributed Generation Integration on Protection Devices
Optimal tilt angle for photovoltaic panels in solar parks


Books
Books, chapters & long-form scholarship
Teaching & outreach
Master’s and doctoral teaching, professional courses, mentoring, public webinars, and practical conversations about energy communities.
Lecturer · 30-hour professional course · Universidad Nacional de San Juan · 2024
Expert session · Energy & Management Programme · La Salle–URL × CEEC
Online lecturer at Universidad Nacional de San Juan.
Podcast guest on participation models for energy communities · IREC × ECENOVA
Research design, modelling, methodology, and publication development with early-career researchers and international collaborators.

Projects
From a monitored community centre to distributed flexibility markets, these projects connect algorithms with live energy infrastructure.
Independent IREC research line on AI-enabled flexibility, market-integrated distribution-system operation, and flexibility services for energy communities and system operators.
Management of WP4, coordination of Tasks 4.2, 4.4 and 4.5, and co-coordination of WP7 for scalable building energy management, IoT, AI, and real-world flexibility validation.
Applied research in active distribution systems and smart-grid operation at IEE–UNSJ.
PMU-based fault diagnosis and Volt–Var control research for smart grids at Universidad Politécnica Salesiana.
Awards
Recognition, recorded carefully
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.
Recognition of Eduardo Javier Salazar Alava for his contribution to education, science, and the training of future professionals.

Advanced training recognition for the programme held from 24 March to 10 July 2025.
Consulting & contact
Energy systems · Artificial intelligence
Available for selected advisory, modelling, and applied-AI engagements with companies, public institutions, research teams, and energy communities.
Flexibility, demand response, energy communities, distributed resources, photovoltaic systems, and active distribution-grid planning.
Forecasting, optimisation, reinforcement learning, explainable models, and decision-support tools grounded in physical and operational constraints.
Project design, model validation, technical review, research roadmaps, and translation between scientific evidence and implementation.
Direct contact
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