Dear colleagues,

We would like to invite you to submit a paper to the Special Session on Computational Intelligence Approaches for Efficient Energy Transition of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), to be held by December 4th – 7th 2021, Orlando, Florida, USA (https://attend.ieee.org/ssci-2021/special-session-computational-intelligence-approaches-for-efficient-energy-transition/).

Important Deadlines:

Deadline for full paper submission (EXTENDED): 20^th August, 2021

Notification of acceptance: 17^th September, 2021

Camera-Ready papers: 15^th October, 2021

Conference: 4-7 December 2021

Submissions:

SSCI welcomes full length papers of 6 to 8 pages, in IEEE two-column conference style. Please refer to https://attend.ieee.org/ssci-2021/submission/ for submission and paper preparation details.

Scope:

The energy sector is undergoing major changes, namely regarding new concepts and principles for economic and environmentally friendly operations and planning, technological upgrades, and new forms for end-users’ behaviour. Electricity is a key driver of modern societies, and consumers expect it to be available at every moment of the day. This expectation is kept even considering increasing demand, environmental restrictions, increasing use of non-dispatchable energy sources, technical issues and many other factors that may negatively impact the sector’s efficiency. This energy transition is requiring the entire sector to adapt itself. New operation and business models are required, as well as new infrastructure and new technological means.

Computational intelligence based approaches are of crucial to address major challenges for highly automated and robust operations in a very dynamic, complex, and competitive environment such as the power and energy sectors, especially in a time of accelerated energy transition.

This special session aims at bringing together different experiences in the application of computational intelligence based approaches to power and energy problems, targeting the contribution of the main international experts in the field, both from academia and industry. Although focused on the application domain of power and energy systems, this special session envisages a broad spectrum of computational intelligence based approaches that address some of the most prominent problems in the field.

Submission Topics:

·       Agent-based Smart Grid Simulation

·       Big Data Applications for Energy Systems

·       Coalitions and Aggregations of Smart Grid and Market Players

·       Consumer Profiling

·       Context Aware Systems

·       Data-Mining Approaches in Smart Grids

·       Decision Support Approaches for Smart Grids

·       Demand Response Aggregation

·       Demand Response Integration in the Market

·       Demand Response Remuneration Methods

·       Electric vehicles

·       Electricity Market Modelling and Simulation

·       Electricity Market Negotiation Strategies

·       Energy Resource Management and Optimization in Buildings

·       Information technology applications

·       Innovative Demand Response Models and Programs

·       Innovative Energy Tariffs

·       Integration of Electric Vehicles in the Power System

·       Intelligent Approaches for Microgrid Management

·       Intelligent Home Management Systems

·       Intelligent methods for Demand Management

·       Intelligent Resources Scheduling

·       Intelligent Supervisory Control Systems

·       Knowledge-based approaches for Power and Energy Systems

·       Load Forecast

·       Multi-Agent Applications for Smart Grids

·       Multi-Agent Systems in Power and Energy Systems

·       Other Computational Intelligence-based Methods for Power and Energy Systems

·       Phasor Measurement Units Applications

·       Real-time simulation

·       Reliability, Protection and Network Security Methods

·       Renewable Energy Forecast using Computational Intelligence

·       Semantic communication and data

·       Smart Sensors and Advanced Metering Infrastructure

Special Session Organizers:

·       José Rueda, Technische Universiteit Delft, The Netherlands

·       Kwang Y. Lee, Baylor University, US

·       Zita Vale – Polytechnic of Porto, Portugal)

·       Tiago Pinto – Polytechnic of Porto, Portugal)

The IEEE Power and Energy Systems (PES) Working Group on Multi-Agent Systems has scheduled a meeting in the scope of IEEE PES General Meeting (IEEE PES GM) 2021, which will take place by:

July 20, 2021 1-2 PM US Eastern Time

We hereby invite you to participate in this meeting using the following link.

Zoom link:  https://lsu.zoom.us/j/96963050046

Dear colleagues,

We would like to invite you to submit a paper to the Special Session on Computational Intelligence Approaches for Efficient Energy Transition of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), to be held by December 4th – 7th 2021, Orlando, Florida, USA (https://attend.ieee.org/ssci-2021/special-session-computational-intelligence-approaches-for-efficient-energy-transition/).

Important Deadlines:

Deadline for full paper submission: 6^th August, 2021

Notification of acceptance: 17^th September, 2021

Camera-Ready papers: 15^th October, 2021

Conference: 4-7 December 2021

Submissions:

SSCI welcomes full length papers of 6 to 8 pages, in IEEE two-column conference style. Please refer to https://attend.ieee.org/ssci-2021/submission/ for submission and paper preparation details.

Scope:

The energy sector is undergoing major changes, namely regarding new concepts and principles for economic and environmentally friendly operations and planning, technological upgrades, and new forms for end-users’ behaviour. Electricity is a key driver of modern societies, and consumers expect it to be available at every moment of the day. This expectation is kept even considering increasing demand, environmental restrictions, increasing use of non-dispatchable energy sources, technical issues and many other factors that may negatively impact the sector’s efficiency. This energy transition is requiring the entire sector to adapt itself. New operation and business models are required, as well as new infrastructure and new technological means.

Computational intelligence based approaches are of crucial to address major challenges for highly automated and robust operations in a very dynamic, complex, and competitive environment such as the power and energy sectors, especially in a time of accelerated energy transition.

This special session aims at bringing together different experiences in the application of computational intelligence based approaches to power and energy problems, targeting the contribution of the main international experts in the field, both from academia and industry. Although focused on the application domain of power and energy systems, this special session envisages a broad spectrum of computational intelligence based approaches that address some of the most prominent problems in the field.

Submission Topics:

·       Agent-based Smart Grid Simulation

·       Big Data Applications for Energy Systems

·       Coalitions and Aggregations of Smart Grid and Market Players

·       Consumer Profiling

·       Context Aware Systems

·       Data-Mining Approaches in Smart Grids

·       Decision Support Approaches for Smart Grids

·       Demand Response Aggregation

·       Demand Response Integration in the Market

·       Demand Response Remuneration Methods

·       Electric vehicles

·       Electricity Market Modelling and Simulation

·       Electricity Market Negotiation Strategies

·       Energy Resource Management and Optimization in Buildings

·       Information technology applications

·       Innovative Demand Response Models and Programs

·       Innovative Energy Tariffs

·       Integration of Electric Vehicles in the Power System

·       Intelligent Approaches for Microgrid Management

·       Intelligent Home Management Systems

·       Intelligent methods for Demand Management

·       Intelligent Resources Scheduling

·       Intelligent Supervisory Control Systems

·       Knowledge-based approaches for Power and Energy Systems

·       Load Forecast

·       Multi-Agent Applications for Smart Grids

·       Multi-Agent Systems in Power and Energy Systems

·       Other Computational Intelligence-based Methods for Power and Energy Systems

·       Phasor Measurement Units Applications

·       Real-time simulation

·       Reliability, Protection and Network Security Methods

·       Renewable Energy Forecast using Computational Intelligence

·       Semantic communication and data

·       Smart Sensors and Advanced Metering Infrastructure

Special Session Organizers:

·       José Rueda, Technische Universiteit Delft, The Netherlands

·       Kwang Y. Lee, Baylor University, US

·       Zita Vale – Polytechnic of Porto, Portugal)

·       Tiago Pinto – Polytechnic of Porto, Portugal)

*** sorry for multiple copies of this mail, please forward this message to potential participants***

*** update: competition included in IEEE PES GM 2021 activities ***

Dear Colleagues,

Following the success of the previous editions (CEC, GECCO, WCCI), we are launching a more challenging competition at major conferences in the field of computational intelligence. This IEEE PES GM 2021, IEEE CEC 2021 & GECCO 2021 competition proposes two tracks in the energy domain:

Track 1) Bi-level optimization of bidding strategies in local energy markets (LEM). This track is constructed under the same framework of the past competitions (therefore, former competitors can adapt their algorithms to this new track), representing a complex bi-level problem in which competitive agents in the upper-level try to maximize their profits, modifying and depending on the price determined in the lower-level problem (i.e., the clearing price in the LEM), thus resulting in a strong interdependence of their decisions.

Track 2) Flexibility management of home appliances to support DSO requests. A model for aggregators flexibility provision in distribution networks that takes advantage of load flexibility resources allowing the re-schedule of shifting/real-time home-appliances to provision a request from a distribution system operator (DSO) is proposed. The problem can be modeled as a Mixed-Integer Non-Linear Programming (MINLP) in which the aggregator strives to match a flexibility request from the DSO/BRP, paying remuneration to the households participating in the DR program according to their preferences and the modification of their baseline profile.

Guidelines, rules, and a full description is available in website: http://www.gecad.isep.ipp.pt/ERM-competitions under menus “Competitions” -> “2021”

Important Remarks

·  Notice that submission of papers or assistance to PES GM, CEC, or GECCO by competition participants is not mandatory

· You are welcome to submit short descriptions of your algorithms and results as 2-page papers to be included in the GECCO Companion. This is voluntary — Submission deadline is April 12, 2021 – https://gecco-2021.sigevo.org/Call-for-Competition-Entries

Important Dates:

Submit your results by May 31, 2021, 23:59 (GMT).

IEEE CIS PRIZE:

We are glad to announce that our competition will offer a IEEE Computational Intelligence Society (CIS) prize of 1000 $ (500 $ for the winner of each track). Good luck and stay tuned. Thanks!

Competition Organizers:

Fernando Lezama, GECAD, Polytechnic of Porto (flz@isep.ipp.pt)

Joao Soares, GECAD, Polytechnic of Porto (jan@isep.ipp.pt)

Bruno Canizes, GECAD, Polytechnic of Porto (bmc@isep.ipp.pt)

Zita Vale, Polytechnic of Porto (zav@isep.ipp.pt)

Ruben Romero, UNESP Ilha Solteira (ruben.romero@unesp.br)

Support:

Activity of IEEE CIS Task Force 3 on Computational Intelligence in the Energy Domain with the support of IEEE CIS (prize)

IEEE PES Working Group on Modern Heuristic Optimization (WGMHO) and Intelligent Systems Subcommittee (ISS),

part of IEEE PES TC Analytic Methods for Power Systems (AMPS)

Dear colleagues,

The IEEE Power & Energy Society Task Force on Open Data Sets is glad to announce the call for participation in the Competition on building energy consumption forecasting

Competition Outline and Important Dates

The competition will be held during a full business week (14-18 June 2021). Each day of this week participants will be asked to provide their consumption forecasts for the following day

A Full Year of historical data is already available to enable participants starting building and refining the forecasting models. Please check the competition website for details and register to have access the first data set: http://www.gecad.isep.ipp.pt/smartgridcompetitions/

Authors of methods that present the best results in this competition will be invited as panelists in the Panel:

Performance evaluation of artificial intelligence methods for energy consumption forecasting using open data sets

To take place at the 2021 IEEE Power & Energy Society General Meeting – 25-29 July 2021 (Virtual Event)

Please contact the organizers for any queries.

Organizers:

Zita Vale, Polytechnic of Porto, Portugal (zav@isep.ipp.pt)

Hiroyuki Mori, Meiji University, Japan (hmori@meiji.ac.jp)

Tiago Pinto, Polytechnic of Porto, Portugal (tcp@isep.ipp.pt)

Luis Gomes, Polytechnic of Porto, Portugal (log@isep.ipp.pt)

Task Force on Open Data Sets

Working group on Intelligent Data Mining and Analysis

Intelligent Systems Subcommittee

IEEE Power & Energy Systems Society

Dear colleagues,

We would like to invite you to submit a paper to the Thematic Track on Artificial Intelligence in Power and Energy Systems of EPIA 2021, to be held Online, between 7 and 9 September 2021 (http://www.appia.pt/epia2021/aipes).

Important Deadlines:

Deadline for full paper submission: 30^th April, 2021 (EXTENDED)

Notification of acceptance: 31^st May, 2021

Camera-Ready papers: 15^th June, 2021

Conference: 7-9 September 2021

Submissions:

AIPES welcomes full length papers (of up to 12 pages) and also short papers (up to 6 pages), demonstrating practical applications. All papers should be submitted in PDF format through the EPIA 2021 EasyChair submission page.

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Accepted papers will be included in the conference proceedings (a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2021 by the early registration deadline. EPIA 2021 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar.

Each accepted paper must be presented by one of the authors in a track session.

Authors of selected papers will be invited to submit an extended and improved version to a special issue published with Energies international journal (Impact Factor: 2.702). Article processing charges (APC) will be waived for the BEST PAPER and a 50% discount will be offered to the runner-up. All other papers accepted in AIPES will be offered a 15% discount for inclusion in this special issue.

Scope:

The Thematic Track on Artificial Intelligence in Power and Energy Systems aims at providing an advanced discussion forum on recent and innovative work on the application of artificial intelligence approaches in the field of power and energy systems, including agent-based systems, data-mining, machine learning methodologies, forecasting and optimization.

Submission Topics:

·       Agent-based Smart Grid Simulation

·       Big Data Applications for Energy Systems

·       Coalitions and Aggregations of Smart Grid and Market Players

·       Consumer Profiling

·       Context Aware Systems

·       Data-Mining Approaches in Smart Grids

·       Decision Support Approaches for Smart Grids

·       Demand Response Aggregation

·       Demand Response Integration in the Market

·       Demand Response Remuneration Methods

·       Electric vehicles

·       Electricity Market Modelling and Simulation

·       Electricity Market Negotiation Strategies

·       Energy Resource Management in Buildings

·       Information technology applications

·       Innovative Demand Response Models and Programs

·       Innovative Energy Tariffs

·       Integration of Electric Vehicles in the Power System

·       Intelligent Approaches for Microgrid Management

·       Intelligent Home Management Systems

·       Intelligent methods for Demand Management

·       Intelligent Resources Scheduling

·       Intelligent Supervisory Control Systems

·       Knowledge-based approaches for Power and Energy Systems

·       Load Forecast

·       Market Models for Variable Renewable Energy

·       Multi-Agent Applications for Smart Grids

·       Multi-Agent Systems in Power and Energy Systems

·       Other Artificial Intelligence-based Methods for Power and Energy Systems

·       Phasor Measurement Units Applications

·       Real-time simulation

·       Reliability, Protection and Network Security Methods

·       Renewable Energy Forecast using Computational Intelligence

·       Semantic communication and data

·       Smart Sensors and Advanced Metering Infrastructure

Thematic Track Organizers:

·       Zita Vale – Polytechnic of Porto (Portugal)

·       Tiago Pinto – Polytechnic of Porto (Portugal)

·       Pedro Faria – Polytechnic of Porto (Portugal)

·       Elena Mocanu – University of Twente (The Netherlands)

·       Decebal Constantin Mocanu – University of Twente (The Netherlands)