The Optimal Combination

It is crucial to investigate the factors influencing building energy expenditure to ensure sustainable buildings in the circumstance of a global energy crisis. The building energy simulation model is a crucial tool to support architects and engineers during different stages of building construction and operations to optimize the design solutions and operation schedules. The objective of this study is to analyze the unexplored combination of some passive design solutions including a one-story-primary school in Hanoi, Vietnam.

9p visarada 28-04-2025 2 1   Download

Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.

10p viengfa 28-10-2024 1 1   Download

This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.

18p viengfa 28-10-2024 2 2   Download

Predicting the macroscopic permeability of porous media is critical in various scientific and engineering applications. This study proposes a novel model that combines Random Forest (RF) and rime-ice (RIME) optimization algorithm, denoted RIME-RF-RIME, to predict permeability based on six key features covering fluid phase dimensions, geometric characteristics, surrounding phase permeability, and media porosity.

14p viengfa 28-10-2024 2 2   Download

This study proposes an improved optimization algorithm, combining a chaotic search function and the Runge Kutta optimizer, to address the optimal power dispatch problem for EVCS integrated with Vehicle-to-Grid technology in Distribution Networks featuring Distributed Generation and Battery Energy Storage Systems.

11p viaburame 14-03-2025 3 1   Download

In this report, the solid phase extraction technique combined with the gas chromatographymass spectrometry method (GC-MS) was optimized to determine the contamination of nine phthalic acid esters (PAEs) in the surface sediment samples collected from Rao Cai River in Ha Tinh, Vietnam.

7p vifilm 11-10-2024 1 1   Download

This paper presents a comprehensive investigation into the optimization of exciplex emission in organic light-emitting diodes (OLEDs). Through a systematic exploration of various combinations of hole-transporting materials (HTMs) and electron-transporting materials (ETMs), we elucidate critical factors influencing exciplex formation and its impact on OLED performance.

5p viyamanaka 06-02-2025 3 1   Download

This paper presents a system that combines torque control algorithms based on a back-propagation neural network (BP-ANN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The BP-ANN uses a multi-layer structure where the input layer processes factors such as load torque, rotational speed, and stator current, hidden layers model complex nonlinear interactions, and the output layer predicts optimal torque for AFPMSM operation.

15p viyamanaka 06-02-2025 8 2   Download

In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.

19p vimurdoch 18-09-2023 13 4   Download

This study proceeded to address the following objectives: To evaluate the effect of gas composition commonly used in modified atmosphere packaging (80% O2 and 20% CO2) on the shelf life of beef patties; to formulate an optimal solution containing natural antioxidant and antimicrobial preservatives and to study the effect of this combination and MAP on physiochemical attributes (surface colour (chroma, hue angle), metmyoglobin and oxmyoglobin contents, lipid stability) of fresh beef patties; to evaluate the effect of combined antioxidant – antimicrobial natural preservative and MAP on packag...

95p runthenight04 02-02-2023 16 2   Download

Goals of the dissertation: This thesis focuses on studying and developing meta-heuristic optimization methods and combines them with the Artificial Neural Network, which has advantages in approximating data, to build up a new algorithm for solving composite material structural optimization problems.

136p monsterhunterer 20-06-2021 12 3   Download

To study the scientific basis to build the optimal calculation model of electricity sales for the system of staged reservoirs under competitive power generation conditions in order to provide operational instructions in combination with the coordination chart deliver the full annual output contract and drive to the largest revenue.

27p hobbsandshaw 09-06-2021 18 4   Download

This dissertation focuses on establishing the process of manufacturing bimetallic Fe / Cu internal electrolysis nanomaterial, thereby studying some characteristics correlation between corrosive line and TNT decomposition kinetics and time. Setting and optimizing the internal electrolysis process by bimetal Fe / Cu nanomaterials combined with biological method A2O-MBBR (moving bed Biological reactor) to treat TNT wastewater at laboratory scale and Pilot scale at the scene.

27p larachdumlanat129 20-01-2021 23 3   Download

Backtracking Search Optimization Algorithm (BSA) is a new stochastic evolutionary algorithm and the aim of this paper is to introduce a hybrid approach combining the BSA and Quadratic approximation (QA), called HBSAfor solving unconstrained non-linear, non-differentiable optimization problems.

12p tohitohi 22-05-2020 21 1   Download

The thesis aims to produce nanoparticles (dielectric, ferrites, ferromagnetic, metal) and their nanoparticles. Find the optimal technology process, suitable for making absorbent samples. Survey the basic properties of fabricated nanomaterials. Measuring and studying the effects of microwave absorption in magnetic-dielectric nanoparticles, absorption mechanisms and dependence of absorbing properties on the parameters of materials, thereby finding solutions Enhance absorption capacity as well as adjust absorption parameters.

28p xacxuoc4321 09-07-2019 30 4   Download

(BQ) From the experimental results, it has been found that the electrical conductivity of the tool electrode has the most influencing nature on the machining characteristics in EDM process. The optimal combination of the input process parameters has been obtained using Taguchi-grey relational analysis.

8p xuanphuongdhts 27-03-2017 73 3   Download

(BQ) This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing.

5p xuanphuongdhts 27-03-2017 57 3   Download

(BQ) The objective of this paper is to find out the combination of process parameters for optimum surface roughness and material removal rate (MRR) in electro discharge machining (EDM) of EN31 tool steel using artificial bee colony (ABC) algorithm.

11p xuanphuongdhts 27-03-2017 52 2   Download

(BQ) The present work deals with the comparison of the MRR for EN19 and EN41 material in a die sinking EDM machine. The various input factors like Pulse ON time, Pulse OFF time, Discharge current and voltage were considered as the input processing parameters, while the MRR is considered as the output. Optimization using Taguchi method was performed to predict the best combination of inputs towards maximum output.

7p xuanphuongdhts 27-03-2017 41 2   Download

(BQ) Electrical Discharge Machining (EDM) is a non-traditional machining process which has the ability to machine hard, difficult to machine materials and the parts with complex internal shapes by using precisely controlled sparks that occurs between an electrode and a work piece in the presence of a dielectric fluid.

9p xuanphuongdhts 27-03-2017 72 3   Download