AIMAL 2021 - Workshop on Artificial Intelligence and Machine Learning (AIMAL)

The scope of the AIMAL is to provide a platform for sharing the work from the domains of Smart Grid (SG), Cloud Computing (CC) and Big Data (BD). This platform enables the collaboration of the researchers around the globe via sharing their work in the aforementioned domains. SG acts as the backbone platform for the integration and development of new tools and technologies using the CC and BD methodologies. It covers the supply side and demand side electricity management through bidirectional communication mechanisms. Supply side relies on the management of electricity generation, transmission, and distribution, whereas, demand side focuses on the consumers’ energy consumption management. SG also describes the demand response techniques in order to facilitate the consumers in terms of minimizing their electricity bills and energy consumption by maintaining the user preferences using the CC and BD technologies.
The goal of this platform is to collect the novel academic research work; including its simulation and best experimental results regarding all perspectives of the SG, CC and BD applications. The topics of interest include; however, not limited to the following:
Demand side management in SG
Demand response and pricing incentives’ management in SG
Heuristic optimization techniques for demand side management and demand response
Mathematical techniques for load and price optimization
Artificial Intelligence techniques for optimizing consumers’ preferences
Emerging technologies for CC in SG
Design and implementation of CC and SG
Role of the BD in SG
BD collaboration in SG
BD analytics learning in SG