In this paper, a new bio-inspired metaheuristic algorithm called the Lyrebird Optimization
Algorithm (LOA) that imitates the natural behavior of lyrebirds in the wild is introduced. The …

In the contemporary world, where the escalating demand for energy and the imperative for
sustainable sources, notably solar energy, have taken precedence, the investigation into …

Rapidly increasing global energy demand and environmental concerns have shifted the
attention of policymakers toward the large-scale integration of renewable energy resources …

In this article, an Interval Type-3 Fuzzy Logic System (IT3FLS) for enhancing the
performance in Bee Colony Optimization (BCO) is outlined. The efficiency of the IT3FLS …

Predicting wind speed over the ocean is difficult due to the unequal distribution of buoy
stations and the occasional fluctuations in the wind field. This study proposes a dynamic …

This paper proposes simple and deterministic model for generating an hourly synthetic wind
speed time series based on a typical meteorological year. It considers daily averages, the …

Accurate wind speed and power forecasting are key to optimizing renewable wind station
management, which is essential for smart and zero-energy cities. This paper presents a …

Optimal scheduling of microgrids (MGs) is a crucial component of smart grid optimization,
playing a vital role in minimizing energy consumption and environmental degradation …

In agrarian sectors, the prevalence of adulteration from seed selection to final agricultural
outputs is a significant concern. This deceptive practice not only spans across distinct plant …

Time series analysis is a widely used technique which can be applied to many areas such
as electricity usage, commodity sales, traffic flow, and linguistics. Regarding linguistic …