AI for Energy Finance (AI4EFin)

create and disseminate knowledge

Project duration

36 months

Project budget

approx. 1.4 mil. Euro

Implementation

July 2023 – June 2026

Contact

office@ai4efin.ase.ro

Create and disseminate Knowledge

About AI for Energy Finance (AI4EFin)

Energy finance highlights the interdependency of energy and financial markets. Understanding this relationship and answering the crucial question of how to fuel world economies hunger for energy while decreasing greenhouse gas emission requires a new family of tools that turn the vast amounts of data in the energy finance ecosystem into insights for decision-making and ultimately enhance the efficiency, resilience, and sustainability of energy operations and their financing. AI4EFin speaks to these challenges.
Built around a methodological core, we craft novel machine learning (ML) and artificial intelligence (AI) instruments for pattern extraction, explanation, and forecasting of the high-dimensional, non-stationary, temporal data encountered in energy finance to support decision analysis and risk management. These features include probabilistic models to estimate the full conditional distribution of energy derivative prices and other targets, as well as distributional forecasts to facilitate the applicability of risk management tools. Drawing on the potential outcome framework, we also devise ML/AI instruments that model the causal effect of interventions/shocks on price developments and market outcomes.
These new causal approaches are also meant to guide policy-makers in devising/revising regulatory programs and other market interventions, and facilitate estimating the effectiveness of these interventions.

Energy finance highlights the interdependency of energy and financial markets. Understanding this relationship and answering the crucial question of how to fuel world economies hunger for energy while decreasing greenhouse gas emission requires a new family of tools that turn the vast amounts of data in the energy finance ecosystem into insights for decision-making and ultimately enhance the efficiency, resilience, and sustainability of energy operations and their financing. AI4EFin speaks to these challenges.
Built around a methodological core, we craft novel machine learning (ML) and artificial intelligence (AI) instruments for pattern extraction, explanation, and forecasting of the high-dimensional, non-stationary, temporal data encountered in energy finance to support decision analysis and risk management. These features include probabilistic models to estimate the full conditional distribution of energy derivative prices and other targets, as well as distributional forecasts to facilitate the applicability of risk management tools. Drawing on the potential outcome framework, we also devise ML/AI instruments that model the causal effect of interventions/shocks on price developments and market outcomes.
These new causal approaches are also meant to guide policy-makers in devising/revising regulatory programs and other market interventions, and facilitate estimating the effectiveness of these interventions.

Ai4EFIN

Mission & Objectives

AI4EFin involves design-oriented research to develop a set of new ML/AI methods for energy finance. Each design goal is accompanied by large-scale empirical experimentation to demonstrate the effectiveness of the new instruments vis-a-vis established benchmarks in relevant energy finance use cases related to decision analysis and risk management.

Passionate – Dedicated – Professional

Meet Our Team of Experts

Introducing the Pioneers Behind Our Success: A Diverse Ensemble of Skilled Professionals and Visionaries

  • Stefan Lessmann

    Program Director

    Stefan Lessmann
  • Daniel Traian Pele

    Experienced Researcher

    Daniel Traian Pele
  • Sorin Anagnoste

    Experienced Researcher

    Sorin Anagnoste
  • Vasile Alecsandru Strat

    Experienced Researcher

    Vasile Alecsandru Strat
  • Bogdan Andrei Dumitrescu

    Experienced Researcher

    Bogdan Andrei Dumitrescu
  • Daniela Manea

    Experienced Researcher

    Daniela Manea
  • Dorel Paraschiv

    Experienced Researcher

    Dorel Paraschiv
  • Roxana Clodnitchi

    Postdoc Researcher

    Roxana Clodnitchi
  • Cosmin Octavian Cepoi

    Postdoc Researcher

    Cosmin Octavian Cepoi
  • Alla Petukhina

    Postdoc Researcher

    Alla Petukhina
  • Mihai Toma

    Postdoc Researcher

    Mihai Toma
  • Vlad Bolovaneanu

    PhD Student

    Vlad Bolovaneanu
  • Alexandru-Adrian Cramer

    PhD Student

    Alexandru-Adrian Cramer
  • Robert Grecu

    PhD Student

    Robert Grecu
  • Alexandru Andrei

    PhD Student

    Alexandru Andrei

CREATE AND DISSEMINATE KNOWLEDGE

Keysubjects

AI4EFin is a research project developed under and financed by Romania’s National Recovery and Resilience PlanPillar III. Smart, sustainable and inclusive growth, including economic cohesion, jobs, productivity, competitiveness, research, development, and innovation, and a well-functioning internal market with strong small and medium-sized enterprises (SMEs), Component C9/I8.

Energy Finance 85%
Artificial Intelligence 76%
Explainable deep neural networks 77%
Machine Learning 88%
Risk Management 66%

AI4EFin

Project’s deliverables

Explore the Cornerstones of Success: Discover Our Project’s Key Deliverables

  • Review paper, new data available, technical infrastructure

  • Case study on deep global models for forecasting and market modeling
  • Case study and survey results on time-series forecasting models and their explainability
  • Explainable deep probabilistic models
  • Causal forecasting models
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