Abstract: This paper introduces a novel two-stage adaptive supply-demand management framework for microgrids (MGs), addressing the challenges of aging asset management and dynamic energy demand-supply ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

The study finds that AI can reduce certain burdens by managing intrinsic load more efficiently than traditional classroom ...

Abstract: In this paper, we present a distributed robust controller for current sharing and voltage balancing in uncertain DC microgrids. DC microgrids considered in this paper are composed of ...