Special Session: Computational Intelligence in Power and Energy Systems (CIPES)

Sustainability is now one of the main topics in society due to increasing demands and limited resources worldwide. In the field of power and energy systems, methods are required to enable economic and sustainable energy production and consumption. In fact, currently, there is an increasing penetration of renewable and distributed energy sources in the electrical grid. Such resources certainly will contribute to achieving sustainability goals but at the same time pose different challenges in the planning, control, and operation of the electrical grid.

It is in this context that CI methods take a key role to enable financially and ecologically planning, optimizing and forecasting sustainable systems. Typically, these approaches can make use of domain knowledge in order to achieve the required goal more efficiently. However, even in the case that explicit domain knowledge is not available, sophisticated CI methods can also handle a wide variety of problems involving a large amount of data, decision variables, or uncertainty of parameters.

The main goal of this special session is to promote the research on CI methods applied to solve problems related to Power and Energy Systems.

Topics

We are seeking innovative research articles including, but not limited to the following areas:
– Forecasting methods (e.g., applied to energy demand, electricity prices, renewable generation)
– Demand side management (e.g., smart homes, buildings, energy communities)
– Network restoration and planning
– Real-time control and optimization
– Smart grid and microgrid problems
– Explainability in power and energy systems (i.e., when using artificial intelligence or CI)
– Fairness in algorithm design applied to PES
We encourage submissions of articles focusing on the application of CI solving challenges in the energy sector. We are particularly interested in problems with high complexity and unpredictability as well as problems with dynamic goal settings, multiple objectives, and expansive search areas. Cross-sectorial problems are also welcome, e.g., dealing with different types of energy carriers (such as heating, cooling, and electricity supply) and market levels (from household to industrial level).

Special Session Chairs

  • Fernando Lezama
    flz@isep.ipp.pt
    Polytechnic of Porto, Portugal
  • Joao Soares
    jan@isep.ipp.pt
    Polytechnic of Porto, Portugal
  • Kumar Venayagamoorthy
    gvenaya@clemson.edu
    Clemson University, USA
  • Zita Vale
    zav@isep.ipp.pt
    Polytechnic of Porto, Portugal