Results 51 to 60 of about 352 (161)
Reliability constrained dynamic generation expansion planning using honey badger algorithm
Generation expansion planning (GEP) is a complex, highly constrained, non-linear, discrete and dynamic optimization task aimed at determining the optimum generation technology mix of the best expansion alternative for long-term planning horizon.
Adel A. Abou El Ela +4 more
doaj +1 more source
In order to logically allocate reactive power compensators in distribution networks, a method based on fuzzy logic is presented in this paper to take into account the amount of network load in all hours of the study period, and at the same time, the run time of the simulations will be very short so that it is possible to solve such problems.
Ali Solati +3 more
wiley +1 more source
Basalt Fiber Asphalt Concrete (BFAC) is an environmentally friendly and durable material with potential road, bridge, and infrastructure construction applications.
Ba Nhan Phung +4 more
doaj +1 more source
AbstractAs the wind speed is intermittent and unpredictable, statistical distribution approaches have been used to describe wind dates. The Weibull distribution with two parameters is thought to be the most accurate way for modeling wind data. This study seeks wind energy assessment via searching for optimal parameter estimation of the Weibull ...
Adel A. Abou El‐Ela +3 more
openaire +1 more source
A multi‐period mixed‐integer nonlinear programming model is proposed to optimally allocate battery energy storage systems in networks with photovoltaic generation. ABSTRACT A multi‐period mixed‐integer non‐linear programming model is proposed to optimally allocate battery energy storage systems (BESSs) in networks with photovoltaic generation.
Diego Jose da Silva +3 more
wiley +1 more source
The paper proposes a containerised edge computing model for power optimisation in 6G‐inspired massive Internet‐of‐Things applications. The problem is formulated as a central processing unit energy consumption cost function based on quasi‐finite system observations. Results show that the model performs better compared to a competitive baseline algorithm.
Babatunde S. Awoyemi +1 more
wiley +1 more source
This study introduces a novel Quantum-Inspired Hybrid Bald Eagle-Ukari Algorithm with Reinforcement Learning (QI-HBEUA-RL) for comprehensive optimization of conical solar distillers equipped with sand-filled copper conical fins.
Mohamed Loey +3 more
doaj +1 more source
ABSTRACT Aim Understanding the organisation of the wide variety of ecological interactions is crucial to advancing our understanding and management of real ecosystems. We aimed to compile a ‘complete’ network of tetrapod trophic and non‐trophic interactions for the entire North American boreal forest biome that could be analysed to gain insights into ...
Ella Z. Daly +2 more
wiley +1 more source
This paper presents a probabilistic cost‐based model for grid‐connected photovoltaic (PV)–wind hybrid system design, employing probability density functions (PDFs) and Monte Carlo simulation (MCS) to address renewable generation and load demand uncertainties.
Mehrdad Ahmadi Kamarposhti +5 more
wiley +1 more source
Hybrid electric vehicles (HEVs) utilizing fuel cells (FCs), batteries, and supercapacitors (SCs) necessitate sophisticated energy management systems (EMSs) to optimize hydrogen utilization and improve efficiency. Conventional techniques, including proportional–integral (PI) control, state machine control strategy (SMCS), and the equivalent consumption ...
Hegazy Rezk +2 more
wiley +1 more source

