Artificial Intelligence Techniques in Smart Grids

Dear Colleagues,

Artificial intelligence (AI) is the modern way to perceive, synthesize, infer and demonstrate information relating to science and technology aspects of today’s societies. Utilizing appropriate AI models, regression, pattern classification and recognition, prediction and approximation can be realized towards sustainable development. With the ever-increasing contribution of alternative energy resources in current power systems, the up-to-date passive grids have already been transformed into active, bi-directional networks that are continuously calling for efficient tools to retain stability and reliability. Being able to consolidate the real-world constraints, these systems could not be exist without considering the resources hybridization, multi-sectoral energy satisfaction and smart grid operations.

 

The concept of smart grid involves an electricity grid that delivers electric energy using various approaches to communicate, compute and control in order to enable:

• Self-healing from power disturbance events;
• Active participation by consumers in demand response;
• Resilient operation against physical and cyberattack;
• Power quality provision for twenty-first century needs;
• Accommodation of all generation and storage options;
• New products, services and markets;
• Assets optimization and efficient operation.

 

As the missing link between intermittent renewable power and constant security, various energy storage technologies can be compared accounting for microgrid and virtual power plant formations, network interconnections, demand response and management mechanisms, prosumers and electric vehicles participation, etc. 

The scope of this Special Issue is to examine original research and reviews related to the most recent developments and techniques on the field of smart grid solutions. Within the broad specialized area, intelligent algorithms, novel approaches, alternative models and experimental evaluations that promote and disseminate knowledge on these topics are welcome.

Dr. Pavlos Nikolaidis
Guest Editor

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