The residential load sector plays a vital role in terms of its impact on overall power balance,
stability, and efficient power management. However, the load dynamics of the energy …

Optimizing the power demand for smart home appliances in a smart grid is the primary
challenge faced by power supplier companies, particularly during peak periods, due to its …

Smart grid (SG) is a next-generation grid which is responsible for changing the lifestyle of
modern society. It avoids the shortcomings of traditional grids by incorporating new …

Effort estimation is the most critical activity for the success of overall solution delivery in
software engineering projects. In this context, the paper's main contributions to the literature …

This paper introduces HLOA, a novel metaheuristic optimization algorithm that
mathematically mimics crypsis, skin darkening or lightening, blood-squirting, and move-to …

Demand-side management in the smart grid often consists of optimizing energy-related
objective functions, with respect to variables, in the presence of constraints expressing …

Food needs are increasing day by day, and traditional agricultural methods are not
responding efficiently. Moreover, considering other important global challenges such as …

In recent years, the substantial upsurge of electricity demand has directly impacted the
performance of the distribution networks concerning the active power losses and voltage …

Effective software cost estimation significantly contributes to decision‐making. The rising
trend of using nature‐inspired meta‐heuristic algorithms has been seen in software cost …

In industrial and commercial sectors, numerous countries had successfully implemented the
dynamic pricing as a solution to the problem of high power demand in peak hours. But, an …