Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

Power networks are undergoing a fundamental transition, with traditionally passive
consumers becoming 'prosumers'—proactive consumers with distributed energy resources …

A central question for information systems (IS) researchers and practitioners is if, and how,
big data can help attain a competitive advantage. To address this question, this study draws …

Demand response programs offer efficient solutions for many power system problems, such
as high generation cost, high demand's peak to average ratio, high emissions, reliability …

The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …

Due to the increasing integration of renewable forms of generation, ageing network
infrastructure, and rapid increase in peak load demand, flexibility is becoming economically …

Abstract Smart MicroGrids (SMGs) can be seen as a promising option when it comes to
addressing the urgent need for sustainable transition in electric systems from the current …

The parametric uncertainties inherent in the models of renewable and sustainable energy
systems (RSESs) make the associated decision-making processes of integrated resource …

Smart grids are robust, self-healing networks that allow bidirectional propagation of energy
and information within the utility grid. This introduces a new type of energy user who …

The energy landscape is experiencing accelerating change; centralized energy systems are
being decarbonized, and transitioning towards distributed energy systems, facilitated by …