Abstract The Regional Integrated Energy System Concentrating Solar Power (RIES-CSP)
can realize the energy conversion between solar energy, thermal energy and electric …

In Home Energy Management System (HEMS), the scheduling of energy storage equipment
and shiftable loads has been widely studied to reduce home energy costs. However …

Data granulation emerged as an important paradigm in modeling and computing with
uncertainty, exploiting information granules as the main mathematical constructs involved in …

The variation tendency of oxygen demand plays a crucial role in planning and scheduling in
the steel industry. Traditional prediction methods merely utilize historical data without …

With recent advances in waste-to-energy technologies, the integration of municipal solid
waste in energy recovery systems is becoming a promising alternative. However, it is still …

Sound energy scheduling and allocation is of paramount significance for the current steel
industry, and the quantitative prediction of energy media is being regarded as the …

In this paper, we develop a comprehensive conceptual and algorithmic framework to cope
with a problem of clustering homogeneous information granules. While there have been …

This paper proposes a new two‐stage optimization method for emergency supplies
allocation problem with multisupplier, multiaffected area, multirelief, and multivehicle. The …

This study pioneers sustainable energy solutions amidst escalating demand and fossil fuel
depletion. Its primary novelty lies in proposing an integrated energy system, encompassing …

Granular computing, an emerging information processing paradigm transforming complex
data into information granules at different scales so that different features and regularities …