Artificial Intelligence for Energy and Sustainability

Artificial Intelligence for Energy and Sustainability (AIES)

Workshop of IFIP Technical Committee 12 .11

A One Day Program that includes invited talks, presentations and discussions

This workshop has the specific objective of facing environmental challenges using AI approaches and techniques to support and improve the management of sustainable energy systems within smart cities, smart facilities, smart buildings, smart transportation and smart houses. Decision support systems, planning and optimization in the sustainability and energy management fields require understanding of related systems, modelling, applying appropriate AI techniques including machine learning algorithms and handling temporary aspects of big data. Energy generation, transmission, distribution, sales and consumption need distinct focus with the energy mix optimization, distributed approaches, renewable energies with storage. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The objective of this multidisciplinary session is to bring both researchers and practitioners together to discuss methodological, technical and organizational aspects of AI used for the traditional and renewable energy lifecycles. Knowledge sharing in constructing the AI models, Business Operations, Support of short, medium and long-term decisions and innovations in the fields of sustainability and energy will improve the interactions of human life and economies. Ultimate goal of the workshop is bring a contribution to achieve some of 17 UN sustainability goals.

Researches and practitioners are invited to submit their recent advances in methodologies, models and tools for managing knowledge in organizations and to discuss experiences in Energy Management and Sustainability. It covers development of complex systems to solve non-convex, nonlinear problems.

This conference form will be:

  • Invited talk
  • Presentations of peer-reviewed papers, including discussions
  • Final discussion on needs and challenges for the future

Thematic Areas
Artificial Intelligence for:

  • Knowledge Management for Energy Ecosystems
  • Sustainability Policies
  • Decision Models for Energy Policy Makers
  • Decision Support for Energy System Management and Control
  • Smart Transportation Models
  • Optimization Models for Energy Efficiency
  • Mitigation of Emissions
  • Climate Change Adaptation Models
  • Carbon Trading
  • Multi Objective Optimization of Hybrid Resource utilization
  • Non-Linear Optimization of Energy Loads & Dispatch
  • Real time Control of Energy Systems
  • Energy Forecasting Models
  • Distributed Energy Operation Models
  • Modelling the Sustainable Future

Important Dates

  • Submission deadline: March  30,  2022
  • Notification of acceptence/rejection: April 15,  2022
  • Camera-ready version deadline: May 30,  2022


Organisers :

Gülgün Kayakutlu (

Eunika Mercier-Laurent (

Submission instructions

Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 12 pages formatted according to the well-known LNCS Springer style.

All papers should be submitted either in a doc/docx or in a pdf form and will be peer reviewed by at least 2 academic referees. Contributing authors must follow the AIAI2022’s paper format guidelines as far as the IFIP AICT file format.

Authors should submit their work as PDF on Easychair AIES 2022 submission slot.

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