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Articles 2791 - 2820 of 27232

Full-Text Articles in Mathematics

A Reconsideration Of Advanced Concepts In Neutrosophic Graphs: Smart, Zero Divisor, Layered, Weak, Semi, And Chemical Graphs, Takaaki Fujita, Florentin Smarandache Jan 2024

A Reconsideration Of Advanced Concepts In Neutrosophic Graphs: Smart, Zero Divisor, Layered, Weak, Semi, And Chemical Graphs, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

One of the most powerful tools in graph theory is the classification of graphs into distinct classes based on shared properties or structural features. Over time, many graph classes have been introduced, each aimed at capturing specific behaviors or characteristics of a graph. Neutrosophic Set Theory, a method for handling uncertainty, extends fuzzy logic by incorporating degrees of truth, indeterminacy, and falsity. Building on this framework, Neutrosophic Graphs [9,84,135] have emerged as significant generalizations of fuzzy graphs. In this paper, we extend several classes of fuzzy graphs to Neutrosophic graphs and analyze their properties.

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Three Novel Approaches To Deep Space: Interstellar Travel That Transcend The Limitations Imposed By The Rocket Equation, Victor Christianto, Florentin Smarandache Jan 2024

Three Novel Approaches To Deep Space: Interstellar Travel That Transcend The Limitations Imposed By The Rocket Equation, Victor Christianto, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

At the time of writing this abstract, we read about Betelgeuse star has exploded in the last few days. While there are various explanations and interpretations on how that event would have impacted this Earth’s inhabitants, our interpretation asserts that there are several chains of stars that act to lock this Earth to the 3D realm, and the exploded Betelgeuse star can be considered as a signal from heaven that we, all Earth inhabitants, are allowed to be elevated to 5D consciousness and to explore the Deep Space beyond this solar system. Therefore, in the present paper, it is considered …

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The Cardinal Of The M-Powerset Of A Set Of N Elements Used In The Superhyperstructures And Neutrosophic Superhyperstructures, Florentin Smarandache Jan 2024

The Cardinal Of The M-Powerset Of A Set Of N Elements Used In The Superhyperstructures And Neutrosophic Superhyperstructures, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

In this paper, we find a formula for computing the cardinal of the m-th powerset of a set of n elements, which is needed in the SuperHyperStructures.

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Survey Of Planar And Outerplanar Graphs In Fuzzy And Neutrosophic Graphs, Takaaki Fujita, Florentin Smarandache Jan 2024

Survey Of Planar And Outerplanar Graphs In Fuzzy And Neutrosophic Graphs, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

As many readers may know, graph theory is a fundamental branch of mathematics that explores networks made up of nodes and edges, focusing on their paths, structures, and properties [196]. A planar graph is one that can be drawn on a plane without any edges intersecting, ensuring planarity. Outerplanar graphs, a subset of planar graphs, have all their vertices located on the boundary of the outer face in their planar embedding. In recent years, outerplanar graphs have been formally defined within the context of fuzzy graphs. To capture uncertain parameters and concepts, various graphs such as fuzzy, neutrosophic, Turiyam, and …

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Fundamental Computational Problems And Algorithms For Superhypergraphs, Takaaki Fujita, Florentin Smarandache Jan 2024

Fundamental Computational Problems And Algorithms For Superhypergraphs, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Hypergraphs extend traditional graphs by allowing edges (known as hyperedges) to connect more than two vertices, rather than just pairs. This paper explores fundamental problems and algorithms in the context of SuperHypergraphs, an advanced extension of hypergraphs enabling modeling of hierarchical and complex relationships. Topics covered include constructing SuperHyperGraphs, recognizing SuperHyperTrees, and computing SuperHyperTree-width. We address a range of optimization problems, such as the SuperHy-pergraph Partition Problem, Reachability, Minimum Spanning SuperHypertree, and Single-Source Shortest Path. Furthermore, adaptations of classical problems like the Traveling Salesman Problem, Chinese Postman Problem, and Longest Simple Path Problem are presented in the SuperHypergraph framework.

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Breve Introducción A Los Conjuntos Y A La Lógica Neutrosófica Estándar Y No Estándar, Florentin Smarandache Jan 2024

Breve Introducción A Los Conjuntos Y A La Lógica Neutrosófica Estándar Y No Estándar, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Se recuerdan las definiciones de Conjunto Neutrosófico de Valor Único (SVNS), Conjunto Neutrosófico de Valor Intervalo (IVNS), Conjunto Neutrosófico de Valor Subconjunto (SVNS) y, respectivamente, Conjunto Neutrosófico No Estándar [Con Valor Único ( SVNS NoS ), Con Valor Intervalo ( IVNS NoS ) y Con Valor Subconjunto ( SVNS NoS )], junto con sus operadores. De manera similar, para Conjunto Neutrosófico Estándar y No Estándar.

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A Review At Two Nuclear Reactor Problems In Asia, Victor Christianto, Florentin Smarandache Jan 2024

A Review At Two Nuclear Reactor Problems In Asia, Victor Christianto, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

The development of nuclear power plants (NPP) is often a heated debate, especially in developing countries [1]. In relation to this, it is worth the public's attention that lately, it seems that there have been increasingly frequent press releases from various parties representing the government regarding plans to build the first nuclear fission reactor in Indonesia in the not too distant future. Reportedly there will be a large amount of additional energy supply planned (around 100 GW to be built in Indonesia within the coming decade). For this reason, the authors would like to invite readers to take a moment …

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A Right-Brain-Based Epistemology Grounded On Local Wisdom: Intuilytics As A Culturally-Meaningful Alternative In Science, Victor Christianto, Florentin Smarandache Jan 2024

A Right-Brain-Based Epistemology Grounded On Local Wisdom: Intuilytics As A Culturally-Meaningful Alternative In Science, Victor Christianto, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Epistemology, the study of knowledge, has long grappled with the challenge of determining truth. While the combination of deductive and inductive reasoning has been a cornerstone of scientific inquiry, several limitations emerge in its application to contemporary epistemology. One significant issue lies within the core of falsificationism, a prominent philosophy championed by Karl Popper. Falsificationism posits that a scientific theory can only be proven false, not true. While this approach aims to prevent dogmatic adherence to untested ideas, it can lead to an endless cycle of trial and error. As Popper himself acknowledged, no single experiment can definitively prove a …

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A Review Of The Hierarchy Of Plithogenic, Neutrosophic, And Fuzzy Graphs: Survey And Applications, Takaaki Fujita, Florentin Smarandache Jan 2024

A Review Of The Hierarchy Of Plithogenic, Neutrosophic, And Fuzzy Graphs: Survey And Applications, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

As many readers may know, graph theory is a fundamental branch of mathematics that examines networks consisting of nodes and edges, with a focus on their paths, structures, and properties [157]. A Fuzzy Graph extends this concept by assigning a membership degree between 0 and 1 to each edge and vertex, capturing the level of uncertainty. Expanding on this idea, the Turiyam Neutrosophic Graph was introduced as an extension of both Neutrosophic and Fuzzy Graphs. Plithogenic graphs, in turn, offer a powerful approach for managing uncertainty. In this paper, we explore the relationships among various graph classes, including Plithogenic graphs, …

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Decision Making In The Case Of Confirmed Data Neutrosophic Linear Models To Choose The Advertising Medium, Maissam Ahmad Jdid, Florentin Smarandache Jan 2024

Decision Making In The Case Of Confirmed Data Neutrosophic Linear Models To Choose The Advertising Medium, Maissam Ahmad Jdid, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

In light of the great development witnessed by our contemporary world, it has become necessary to focus on scientific methods and use the quantitative method to reach more accurate decisions, appropriate to the surrounding circumstances and factors. The process of decision-making and choosing the optimal alternative depends on the type and quality of data that describes the issue for which the decision is to be made. Regarding it, in this chapter we present a study of the issue of determining the ideal advertising medium to display a company’s products. This issue is considered one of the issues of decision-making in …

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Recreational Mathematics: Where Is The Error?, Florentin Smarandache Jan 2024

Recreational Mathematics: Where Is The Error?, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

This short note is a funny problem for the trigonometry students!.

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Soft Sets Extensions Used In Bioinformatics, Florentin Smarandache, Daniela Gifu Jan 2024

Soft Sets Extensions Used In Bioinformatics, Florentin Smarandache, Daniela Gifu

Branch Mathematics and Statistics Faculty and Staff Publications

This comprehensive review delves into the intricate realm of Soft Sets and their extensions, including HyperSoft Set, IndetermSoft Set, IndetermHyperSoft Set, and TreeSoft Set, within the context of biomedical data analysis. Soft Sets serve as a foundational framework for managing the inherent uncertainty and imprecision inherent in biological data, thereby facilitating informed decision-making and knowledge discovery. The exploration of Soft Set Products, particularly in the context of multiple soft sets, underscores their pivotal role in advancing biomedical research. By extending these concepts to HyperSoft Sets, researchers can unlock deeper insights into complex biological phenomena, enabling more accurate predictions and classification.

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Logical Pluralism And Neutrosophy: Reflections On The Nature Of Truth, Florentin Smarandache Jan 2024

Logical Pluralism And Neutrosophy: Reflections On The Nature Of Truth, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

The article explores the shift from classical binary logic (true and false) to a more complex landscape of logical frameworks. It introduces logical pluralism, which suggests that no single, universally accepted system of logic exists. The paper connects this idea to neutrosophy, a framework that extends fuzzy logic by incorporating a third value: indeterminacy. This triadic approach, where every proposition has a degree of truth (T), falsity (F), and indeterminacy (I), is particularly useful for managing incomplete or contradictory information. The author argues that different logical systems, like different tools, are suited for different problems, and that the …

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The Deep Bsde Method, Daniel Kovach Jan 2024

The Deep Bsde Method, Daniel Kovach

Masters Theses

"The curse of dimensionality is the non-linear growth in computing time as the dimension of a problem increases. Using the Deep Backwards Stochastic Differential Equation (Deep BSDE) method developed in [HJE18], I approximate the solution at an initial time to a one-dimensional diffusion equation. Although we only approximate a one-dimensional equation, this method extends well to higher dimensions because it overcomes the curse of dimensionality by evaluating the given partial differential equation along "random characteristics''. In addition to the implementation, I also present most of the mathematical theory needed to understand this method"-- Abstract, p. iii

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The Exponential Function In Discrete Fractional Calculus Under The Delta Operator, Brayton James Link Jan 2024

The Exponential Function In Discrete Fractional Calculus Under The Delta Operator, Brayton James Link

Masters Theses

"Previously the exponential problem in discrete fractional calculus under the nabla operator was solved with the discrete Mittag--Leffler function. We now show the solution to the exponential problem in discrete fractional calculus under the delta operator, providing multiple derivations of the solution with recursion and Laplace transforms. We also share some computational and numerical results of experiments with different orders of difference to display the nature of the solution" -- Abstract, p. iii

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Linear Topological Space, Vi Nguyen Jan 2024

Linear Topological Space, Vi Nguyen

UNF Graduate Theses and Dissertations

This thesis begins with an introduction to linear and topological spaces and then defines linear topological spaces. It studies key properties such as neighborhoods, convexity, reflexivity, and weak and weak* topologies. Finally, it concludes with solving non-linear partial differential equations.

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Dynamics And Inverse Problems For Nonlinear Schrödinger Equations, Christopher Hogan Jan 2024

Dynamics And Inverse Problems For Nonlinear Schrödinger Equations, Christopher Hogan

Doctoral Dissertations

"The cubic nonlinear Schrödinger equation (NLS) is a model of interest in the study of physical problems including nonlinear optics and Bose-Einstein condensates. Of particular interest is the study of cubic NLS with inhomogeneities such as localizations of the nonlinearity or terms introducing potential barriers. We first address some preliminaries and techniques useful in the study of the cubic NLS and its variations. We then consider the cubic NLS with a localized nonlinearity in dimensions d ≥ 2. We show that solutions with data given by small-amplitude wave packets accrue a nonlinear phase that determines the X-ray transform of the …

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Prime Intersection Graphs Of Ideals Of Commutative Artinian Rings, Nuttawut Sangjaer Jan 2024

Prime Intersection Graphs Of Ideals Of Commutative Artinian Rings, Nuttawut Sangjaer

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this thesis, we study prime intersection graphs of ideals of commutative Artinian rings. We work on the connectedness, completeness and planarity of the graphs and characterize the star graphs for these graphs. We calculate graph \linebreak parameters and find the radius and a center of the graphs. Moreover, we determine the degree of each vertex when the vertex set is finite, and characterize the Eulerian and Hamiltonian properties of the graphs.

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Prediction Of Optimal Binding Constraints Of Linear Programming Problem Using Deep Learning, Natdanai Kafakthong Jan 2024

Prediction Of Optimal Binding Constraints Of Linear Programming Problem Using Deep Learning, Natdanai Kafakthong

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis presents innovative deep learning models designed to enhance the efficiency of solving linear programming, transportation, and traveling salesman problems. The first model, LP-Net, predicts the binding optimal constraints in linear programming problems, achieving faster solution times compared to traditional solvers like CPLEX. The second model, Transport-Net, predicts optimal basic feasible arcs for transportation problems, demonstrating significant speedups and superior scalability over both CPLEX and Gurobi in large-scale instances. The third model, TSP-Net, addresses the traveling salesman problem by predicting an initial near-optimal tour, outperforming Gurobi and genetic algorithms in computational efficiency. Collectively, these deep learning approaches offer transformative …

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Fuzzy Digital Signature Scheme For Binary Noisy Strings With Respect To Hamming Distance, Ittanee Srikham Jan 2024

Fuzzy Digital Signature Scheme For Binary Noisy Strings With Respect To Hamming Distance, Ittanee Srikham

Chulalongkorn University Theses and Dissertations (Chula ETD)

One of the risks associated with public key infrastructure (PKI) pertains to the security of the user's private key. Given the imperative for stringent protection of this key, a proposed solution to mitigate this risk involves the utilization of biometric information. Although biometric information is fuzzy, it cannot be used directly as a cryptographic key. Thus, our investigation commenced into the exploration of ``Signature Scheme with a Fuzzy Private Key" by Takahashi et al. They introduced a new concept of digital signature called ``fuzzy signature" for real vectors with $L_{\infty}$ metric. A fuzzy signature is a signature scheme that uses …

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Adjustment Of Ridge Estimator For Linear Regression Model With Multicollinearity, Sittinon Pumpuang Jan 2024

Adjustment Of Ridge Estimator For Linear Regression Model With Multicollinearity, Sittinon Pumpuang

Chulalongkorn University Theses and Dissertations (Chula ETD)

Linear regression model is one of important statistical tools applied in many different problems. Therefore, several studies in developing tools for linear regression models have brought interests from statisticians. One such problem is to find an efficient method for parameter estimation. Several different methods have been proposed in literature such as the ordinary least square method which has been widely used in application. However, the least square estimator has high error when there exists a multicollinearity problem. This, statisticians have developed alternative parameter estimation methods for linear regression models with multicollinearity such as the ridge regression. In this thesis, we …

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Fixed Point And Periodic Cycle Of Sequence Arises From Number Of Factors, Thanapong Jaitrakoon Jan 2024

Fixed Point And Periodic Cycle Of Sequence Arises From Number Of Factors, Thanapong Jaitrakoon

Chulalongkorn University Theses and Dissertations (Chula ETD)

Let. {an} and {bn} be sequences of positive integers. For each positive integer n., define an+1 to be the eube of the number of positive factors of an and define bn+1 to be the forth power of the number of positive factors of bn. This thesis proves that (i) if a1 > 1, then (an) eventually becomes the fixed point, namely 21952 or 64000, or {an}eventually becomes a sequence having periodie cycle of prime period 2, namely (64, 343) or (343, 64); (ii) if b1 > 1, then {bn} is eventually the fixed point, namely 625, 6561 or 4100625.

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Some Properties Of S-Multiplication Modules And S-Comultiplication Modules, Kanrop Hukaew Jan 2024

Some Properties Of S-Multiplication Modules And S-Comultiplication Modules, Kanrop Hukaew

Chulalongkorn University Theses and Dissertations (Chula ETD)

Let R be an associative ring with identity, and all modules be unitary right R- modules. In 2020, D. D. Anderson et al. introduced the concept of S-multiplication modules, which is a generalization of multiplication modules. Two years later, E. Yildiz et al. introduced the dual notion of S-multiplication modules called S- comultiplication modules. Moreover, S-comultiplication modules are also a gen- eralization of comultiplication modules. In this thesis, we will explore several properties of both S-multiplication modules and S-comultiplication modules. We will provide examples of S-multiplication modules and S-comultiplication modules. Additionally, we demonstrate that the concepts of S-multiplication modules, sim- …

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Spatial Data Analysis For Household Income And Expenditure In Thailand, Jirayut Rattana Jan 2024

Spatial Data Analysis For Household Income And Expenditure In Thailand, Jirayut Rattana

Chulalongkorn University Theses and Dissertations (Chula ETD)

Poverty has been a serious problem for many countries throughout the world, particularly during the COVID-19 pandemic. Due to the pandemic, many people lost their jobs and encountered economic. Therefore, the government and policy planners need an effective strategy to improve the country's economy. An essential component of these strategies involves analyzing socio-economic indicators, a field extensively explored by statisticians, economists, and policymakers. In Thailand, methodologies such as the World Bank method, Empirical Bayes, and Hierarchical Bayes have been applied to tackle poverty. However, these approaches often overlook the integration of spatial information in their analyses. In this study, we …

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System Of Stochastic Grey Differential Equations With Singular Spectrum Analysis For Precious Metal Prices Forecasting, Rammarat Panadsako Jan 2024

System Of Stochastic Grey Differential Equations With Singular Spectrum Analysis For Precious Metal Prices Forecasting, Rammarat Panadsako

Chulalongkorn University Theses and Dissertations (Chula ETD)

โลหะมีค่าเป็นกลุ่มโลหะที่มีมูลค่าทางเศรษฐกิจสูงกว่าโลหะทั่วไป ดังนั้นการพยากรณ์ราคาของโลหะมีค่าจึงเป็นหนึ่งปัญหาที่น่าสนใจ ซึ่งการพยากรณ์ราคาของโลหะมีค่ามีหลากหลายวิธี โดยวิทยานิพนธ์ฉบับนี้มีจุดประสงค์เพื่อพัฒนาระบบสมการเชิงอนุพันธ์เกรย์สโตแคสติกกับการวิเคราะห์สเปกตรัมเอกฐาน (SGDE+SSA) ในการพยากรณ์ราคาของทองคำ เงิน แพลทินัม และแพลเลเดียม ในขั้นตอนแรกจะทำการสร้างแบบจำลอง SGDE+SSA แบบหนึ่งมิติ เพื่อพยากรณ์ราคาของโลหะมีค่าทั้งสี่ชนิดโดยไม่พิจารณาค่าสหสัมพันธ์ของโลหะเหล่านี้ แต่ในความเป็นจริงราคาของโลหะเหล่านี้มีความสัมพันธ์กัน ดังนั้นแบบจำลอง SGDE+SSA แบบหลายมิติจึงถูกสร้างขึ้น โดยมีการพิจารณาค่าสหสัมพันธ์ที่เกิดจากการวิเคราะห์ข้อมูลราคาในอดีตเพื่อให้แบบจำลองมีความเหมาะสมกับสถานการณ์จริงมากยิ่งขึ้น สำหรับการวิเคราะห์ความอ่อนไหวจะศึกษาโดยการพัฒนาวิธีการคัดเลือกค่าพารามิเตอร์เพื่อเพิ่มประสิทธิภาพของแบบจำลอง นอกจากนี้ค่าคาดหวังและค่าความแปรปรวนของผลเฉลยทางตัวเลขถูกแสดงโดยคำนวณจากแบบจำลอง ความแม่นยำของแบบจำลอง SGDE+SSA แบบหนึ่งมิติ และแบบจำลอง SGDE+SSA แบบหลายมิติ จะถูกแสดงผ่านค่า MAPE ซึ่งเป็นการเปรียบเทียบระหว่างราคาจากแบบจำลองและราคาของโลหะมีค่าในอดีตตั้งแต่เดือนมกราคม พ.ศ. 2548 ถึง เดือนมกราคม พ.ศ. 2567 ผลการศึกษาครั้งนี้พบว่าแบบจำลอง SGDE+SSA แบบหนึ่งมิติสำหรับราคาการพยากรณ์ในช่วงชุดการเรียนรู้ และสำหรับสำหรับราคาที่พยากรณ์ในช่วงข้อมูลชุดทดสอบ แบบจำลอง SGDE+SSA แบบหนึ่งมิติมีความเชี่ยวชาญในการคาดการณ์ราคาของเงิน ในขณะที่แบบจำลอง SGDE+SSA แบบหลายมิติมีประสิทธิภาพในการทำนายราคาของทองคำและแพลทินัม โดยรวมแล้วแบบจำลองเหล่านี้มีประสิทธิภาพในการทำนายราคาทองคำ เงินและแพลทินัม

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Homotopy Conjugate Of Continuous Map, Thitipon Phuksawad Jan 2024

Homotopy Conjugate Of Continuous Map, Thitipon Phuksawad

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this thesis, we introduce the concept of homotopy conjugate, which is weaker than topological conjugate, for continuous maps. We study the properties of a homotopy conjugate related to the fixed space, the orbit space, and the mapping cylinder. Moreover, we prove that affine maps on R™ with at least one fixed point are all homotopy conjugate.

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Logistic Stochastic Differential Equation Driven By Fractional Brownian Motion, Thanayuth Promkong Jan 2024

Logistic Stochastic Differential Equation Driven By Fractional Brownian Motion, Thanayuth Promkong

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this work, the logistic stochastic differential equation (SDE) driven by fractional Brownian motion (FBM) is proposed. We derive the exact solution of this SDE using the fractional Itô's formula with respect to FBM and investigate the probabilistic properties of the solution, namely the mean and the $k$-th moment, using Taylor series approximation. The simulation of sample paths using the direct formula of the exact solution of this SDE driven by FBM with various Hurst parameters, along with that of the corresponding SDE driven by standard Brownian motion, is performed to demonstrate the behaviors of these SDEs and affirm our …

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Pricing Option On Commodity Under Schwartz Model By Using Finite Difference Method, Peerawit Kalaphakdee Jan 2024

Pricing Option On Commodity Under Schwartz Model By Using Finite Difference Method, Peerawit Kalaphakdee

Chulalongkorn University Theses and Dissertations (Chula ETD)

This work aims for finding prices of options with underlying assets considered as commodities, where the price of commodity is assumed to follow a mean-reverting Ornstein-Uhlenbeck process, namely, the Schwartz one-factor model. The prices of both European and American options are obtained by employing the finite different methods (FDMs) for solving parabolic partial differential equations (PDEs) generated from Feynman-Kac theorem. In this work, we construct three FDMs to solve PDEs, namely FTCS, BTCS and CN methods. The accuracy of FDMs are validated and confirmed by numerical examples for European options by comparing with analytical results from Black-Scholes type formula and …

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Perfect Codes On T-Cayley Graphs, Kantapong Wannatong Jan 2024

Perfect Codes On T-Cayley Graphs, Kantapong Wannatong

Chulalongkorn University Theses and Dissertations (Chula ETD)

Let G be a finite group with the identity e and t ∈ N. In this dissertation, we study perfect codes in a t-Cayley graph of G. Let H be a subgroup of G and k ∈ {1, . . . , t}. We have a necessary and sufficient condition for a collection Ω of subsets of G such that H × {1, . . . , k} is a perfect code in t-Cayley graph Cay(G× {1, . . . , t}, Ω). In addition, we obtain criterions for determining if H × {1, . . . , t} is …

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Stochastic And Fuzzy Unit Commitment Models To Accommodate Solar Energy And Electric Vehicle Charging Penetration, Sukita Kaewpasuk Jan 2024

Stochastic And Fuzzy Unit Commitment Models To Accommodate Solar Energy And Electric Vehicle Charging Penetration, Sukita Kaewpasuk

Chulalongkorn University Theses and Dissertations (Chula ETD)

This dissertation investigates the integration of renewable energy and electric vehicle (EV) consumption in the power system of Thailand. As the country moves towards sustainability, the production sector is experiencing a significant penetration of renewable energy sources, while the consumption sector is observing an increasing adoption of EVs. The unit commitment model is commonly used for electricity production planning to minimize costs and ensure system stability. However, the uncertainties associated with renewable energy output and EV charging consumption challenge the characteristic of the net load demand prediction. This study focuses on developing robust unit commitment models that consider the high …

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