21 – 23 March 2024

 “The best way to predict the future is to create it.” – Abraham Lincoln

Mini Track Chair:

  • Stefan LESSMANN

  • Dan Pele

  • Roxana Clodnitchi

Energy finance highlights the interdependency of energy and financial markets. While the traditional viewpoint of energy markets being a source of shocks in financial markets remains valid, the increasing financialization of energy products renders the linkage between those markets far more complex. Understanding these relationships and answering the crucial question of how to fuel world economies’ hunger for energy while decreasing greenhouse gas emissions 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. The initiative AI for Energy Finance (AI4EFin) speaks to these challenges. Within the session and the like-named Research Project, we are exploring novel machine learning (ML) and artificial intelligence (AI) instruments for pattern extraction, explanation, and forecasting of the high-dimensional, nonstationary, temporal data encountered in energy finance.
Beyond their merit for risk management, the research findings should also guide policymakers in devising/revising regulatory programs and other market interventions, and facilitate estimating the effectiveness of these interventions.

The main topics covered by the hereby call for papers are related to:

  • Energy Finance

  • Artificial Intelligence

  • Explainable deep neural networks

  • Machine Learning

  • Risk management

Stefan LESSMANN completed his PhD and habilitation at the University of Hamburg in 2007 and 2012, respectively. He then joined the Humboldt-University of Berlin in 2014, where he heads the Chair of Information Systems. He serves as an associate editor for DSS, IJF, and other international journals and department editor of BISE. Stefan has secured substantial amounts of research funding and published several papers in leading international (EJOR, DSS, TSE, etc.) and conferences (ICML, ICIS, ECOS, etc. His research concerns machine learning and artificial intelligence (MLAI) methodologies and their use cases in managerial decision support. Stefan specializes on MLAI applications in the broad scope of marketing and risk analytics. Stefan actively participates in knowledge transfer and consulting projects with industry partners; from start-up companies to global players and not-for-profit organizations.

Daniel Traian Pele graduated Mathematics at University of Bucharest (2000) and got his Ph.D. in Statistics (2007) at Bucharest University of Economic Studies. He currently serves as an Associate Professor at Department of Statistics and Econometrics, Bucharest University of Economic Studies, Romania, teaching Statistics of Financial Markets and Time Series. He is an author of more than 20 scientific publications in internationally refereed journals. The corresponding research profile is that of a data scientist, focused on statistical modelling of financial markets. He was a postdoctoral researcher at ICMA Centre, Reading University, United Kingdom (2011) and a Guest Researcher at Research Data Center from Department of Statistics, Humboldt University from Berlin (2014). He is the co-founder of SAS Centre of Excellence in Bucharest University of Economic Studies (2009), aiming to use SAS as a platform for analytics with applications in economy and finance. He was also a World Bank consultant in Romania and he taught courses of Statistics, Econometrics and SAS for the employees of the Romanian National Bank (BNR), National Statistical Institute (INS) and other financial institutions.

Roxana CLODNITCHI is a University Lecturer and Vice-Dan for Research and International Relations of the Faculty of Business Administration in Foreign Languages, within the Bucharest University of Economic Studies. She holds a PhD in Business Administration and has more than 10 years of experience in International Project Management, Communication and Business Consulting with the European Commission and the German Chamber of Commerce in Romania. Within the Bucharest University of Economic Studies, Dr. Clodnitchi was active for years as a guest lecturer in Decision Theory, Strategies and Entrepreneurship with focus on Energy Economics and also as a Business Relations Officer.

Publication Opportunities:

The conference is organized by Society for Business Excellence and Faculty of Business Administration in Foreign Languages on the 21-23 of March 2024 at The Bucharest University of Economic Studies, Faculty of Business Administration in Foreign Languages (FABIZ) in partnership with the Faculty of Agricultural and Environmental Economics (EAM) and the Faculty of International Economic Relations (REI). 

The papers accepted at ICBE 2024 will be published in the conference proceedings, subject to author registration, payment, and presentation. The papers will be published in the Conference Proceedings volume under the German Publishing House De Gruyter and they will be indexed in EBSCO, Proquest, ExLibris, OCLC, Google Scholar, Microsoft Academic, CELDES, CNPIE, Naviga, and will be submitted to Thomson Reuters ISI Web of Science (WOS) Conference Proceedings Citation Index (

The last 7 editions of the Proceedings of the ICBE volumes have been indexed in ISI Web of Science.

Submitted papers will be also considered for publishing under Springer Proceedings in Business and Economics, series indexed by Scopus and ISI. Here you can access the last the edition published following ICBE2022:  

In addition, the best three Papers (Best paper Award Management&Marketing) will be published in the international journal Management & Marketing. Challenges for the Knowledge Society by De Gruyter Open, indexed in Web of Science- Emerging Sources Citation Index (ESCI), Scopus, Proquest, Cabell’s Directory and more than 20 other international databases (

A selection of the submitted papers will be published, subject to review, in the Romanian Journal of Economic Forecasting (

Submission Details

Submission of full paper due for review January 15th 2024
Notification of paper acceptance (incl. requests for changes) February 15th 2024
Final paper due (with changes implemented) March 1st 2024
Final Author registration date March 5th 2024

Registration and payment*

EARLY BIRD – by December 1st 2023
Academics 220 euro 1100 lei
Student (Ph.D. or Post-doc) 175 euro 875 lei
REGULAR – by February 1st 2024
Academics 250 euro 1250 lei
Student (Ph.D. or Post-doc) 200 euro 1000 lei


LATER – by March 10th 2024
Academics 400 euro 2000 lei
Student (Ph.D. or Post-doc) 350 euro 1750 lei
  • SUPPLEMENTARY PAPER = 150 euro / 750 lei
  • The conference fee includes one conference attendance, publication, conference folder and acces to the online events during the conference.

*Please be aware that a late payment involves the possibility not to be present in the printed version of the materials (agenda, booklet).

Do you have any questions?

Do not hesitate to contact us!