Results 61 to 70 of about 1,156 (208)
ABSTRACT Solar photovoltaic (PV) systems can be significantly enhanced through the use of accurate solar cell models. Unfortunately, the absence of precise parameters from manufacturers limits the accuracy of these models. Given the impossibility of reliable modeling without such parameters, this paper introduces a multi‐objective optimization ...
Manish Kumar Singla +6 more
wiley +1 more source
Abstract Hydrological models are typically calibrated using historical ground‐based streamflow observations to constrain model uncertainty. However, such a calibration strategy can lead to unrealistic model parameters and is not applicable in data‐sparse regions where streamflow observations are unavailable.
Huihui Feng +7 more
wiley +1 more source
Parasitism – Predation algorithm (PPA): A novel approach for feature selection
Maximizing the classification accuracy and minimizing the number of selected features are the two main incompatible objectives for using feature selection to overcome the curse of dimensionality.
Al-Attar A. Mohamed +5 more
doaj +1 more source
Practical Capacitor Placement Strategy for Loss Minimisation in Low‐Voltage Distribution Networks
The paper proposes a practical capacitor placement strategy specifically for line loss reduction in rural low‐voltage distribution networks. An optimisation problem is formulated and solved under two input modes with the objective of minimising total line loss, ultimately identifying the optimal set of capacitor installation locations.
Ke Wang
wiley +1 more source
Smart Energy Management of Residential Microgrid System by a Novel Hybrid MGWOSCACSA Algorithm
Optimal scheduling of distributed energy resources (DERs) of a low-voltage utility-connected microgrid system is studied in this paper. DERs include both dispatchable fossil-fueled generators and non-dispatchable renewable energy resources.
Bishwajit Dey +2 more
doaj +1 more source
In this paper, designing a hybrid stand-alone photovoltaic/wind energy system with battery storage (PV/WT/Batt) is presented to minimize the total cost of the hybrid system and considering reliability constraints for Zanjan city in Iran country ...
Sasan Moghaddam +2 more
doaj +1 more source
Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm [PDF]
Sudeepa Das +3 more
openalex +1 more source
This study proposes a hybrid evolutionary exploration algorithm (HEEA) that integrates genetic algorithm and grey wolf optimiser to co‐tune PID controller gains and SMES parameters in a two‐area AC‐DC interconnected renewable system. The proposed method achieves faster convergence, lower ITAE and improved stability compared to existing metaheuristics ...
Md. Shahan Sarker
wiley +1 more source
Improved versions of crow search algorithm for solving global numerical optimization problems [PDF]
Alaa Sheta +3 more
openalex +1 more source
NARRATIVES OF SMART URBANISM: And their Role in the Digitalization of Urban Services in Poland
Abstract This article explores how local advocacy coalitions create and apply narrative strategies to justify the introduction of smart solutions within the domain of urban public services. Using the Narrative Policy Framework, we analyze digital transformation projects in the field of social policy, public safety and waste management introduced in ...
Mateusz Trochymiak +3 more
wiley +1 more source

