Scope

Societies are highly dependent on electricity use to ensure safe, reliable, and comfortable living. The increase of electricity demand is expected to continue in the future and it is considered a crucial requirement for economic development. Concerns about the impact of electricity use in the environment and about the eventual fuel based primary source shortage are presently taken as very serious at scientific, economic and politic levels. These concerns have led to intensive research and to new energy policies envisaging the increased use of renewable energy sources for electricity production and increased energy use efficiency.

In such a dynamic, complex, and competitive environment as the power and energy sector, the use of artificial intelligence is of crucial importance to enable taking full advantage from the opportunities in the field in order to overcome the challenges that are constantly arising.

This Workshop aims at bringing together different experiences in the application of artificial intelligence to power and energy problems. This Workshop builds on the tradition from previous edition of AIPES and related workshops, special sessions and thematic tracks in several relevant international conferences and congresses; targeting the contribution of the main international experts in the field, both from academia and industry.

Submission Topics include:

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