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Journal ArticleDOI

Progress on the demand side management in smart grid and optimization approaches

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This article is published in International Journal of Energy Research.The article was published on 2021-01-01. It has received 100 citations till now. The article focuses on the topics: Smart grid & Load management.

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Citations
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A Survey on Smart Grid CommunicationInfrastructures: Motivations, Requirements andChallenges

TL;DR: From the experience of several industrial trials on smart grid with communication infrastructures, it is expected that the traditional carbon fuel based power plants can cooperate with emerging distributed renewable energy such as wind, solar, etc, to reduce the carbon fuel consumption and consequent green house gas such as carbon dioxide emission.
Journal ArticleDOI

Optimal management of home loads with renewable energy integration and demand response strategy

TL;DR: Simulations suggested that DSM implementation significantly reduced peak loads and renewable resources produced trade-off, and renewable energy integration with DSM can be a promising approach for the significant reduction in total electricity cost of households by paying less for purchasing electricity and selling the surplus electricity to the grid.
Journal ArticleDOI

Overview of smart grid implementation: Frameworks, impact, performance and challenges

TL;DR: In this paper , a survey of smart grid frameworks, social, economic, and environmental impacts, energy trading, and integration of renewable energy sources over the years 2015 to 2021 is presented.
Journal ArticleDOI

Residential Demand Side Management model, optimization and future perspective: A review

TL;DR: In this paper , a review of demand-side management (DSM) for the complex residential sector considering various operational constraints, objectives, identifying various factors that affect better planning, scheduling, and management, to project the key features of various approaches and possible future research directions.
References
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Proceedings ArticleDOI

A new optimizer using particle swarm theory

TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI

Ant system: optimization by a colony of cooperating agents

TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Book

Dynamic Programming and Optimal Control

TL;DR: The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization.
Journal ArticleDOI

Ant colony system: a cooperative learning approach to the traveling salesman problem

TL;DR: The results show that the ACS outperforms other nature-inspired algorithms such as simulated annealing and evolutionary computation, and it is concluded comparing ACS-3-opt, a version of the ACS augmented with a local search procedure, to some of the best performing algorithms for symmetric and asymmetric TSPs.
Book

Handbook of Genetic Algorithms

TL;DR: This book sets out to explain what genetic algorithms are and how they can be used to solve real-world problems, and introduces the fundamental genetic algorithm (GA), and shows how the basic technique may be applied to a very simple numerical optimisation problem.
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