Automated Energy Scheduling Algorithms for Residential Demand Response Systems

Park, Laihyuk; Jang, Yongwoon; Bae, Hyoungchel; Lee, Juho; Park, Chang Yun; Cho, Sungrae

doi:10.3390/en10091326

Cited by 24 publications

(10 citation statements)

References 19 publications

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“…Choose this method if you want to visit all nodes. Depth-first search (DFS) is simpler than width-first navigation (BFS) [33][34][35][36][37]. Simple search speeds themselves are slower than width-first navigation (BFS).…”

Section: Methodsmentioning

confidence: 99%

Neuron Blockchain Algorithm for Legal Problems in Inheritance of Legacy

Kim

2020

Electronics

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This paper discusses the worldwide trend of aging as the lifespan of humans increases. Nonetheless, most people do not write wills, which results in many legal problems after their death. There are many reasons for this including the problem of the validity of their heritage possibly not being legally certified. Wills can be divided into two categories, i.e., testimony and documents. A lawyer in the middle should notarize them, however, instead of providing these notarized services, we propose more transparent algorithms, blockchain shading, and smart country functions. Architectures are designed based on a neural network, the blockchain deep neural network (DNN), and deep neural network-based units are built with a necessary artificial neural network (ANN) base. A heritage inherited blockchain architecture is designed to communicate between nodes based on the minimum distance algorithm and multichannel protocol. In addition, neurons refer to the nerve cells that make up the nervous system of an organism, and artificial neurons are an abstraction of the functions of dendrite, soma, and axon that constitute the neurons of an organism. Similar to the neurons in organisms, artificial neural algorithms such as the depth-first search (DFS) algorithm are expressed in pseudocode. In addition, all blockchain nodes are equipped with verified nodes. A research model is proposed for an artificial network blockchain that is needed for this purpose. The experimental environment builds the server and network environments based on deep neural networks that require verification. Weights are also set for the required verification and performance. This paper verifies the blockchain algorithm equipped with this non-fiction preprocessor function. We also study the blockchain neuron engine that can safely construct a block node for a suicide blockchain. After empirical testing of the will system with artificial intelligence and blockchain, the values are close to 2 and 10 and the distribution is good. The blockchain node also tested 50 nodes more than 150 times, and we concluded that it was suitable for actual testing by completing a demonstration test with 4500 TPS.

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Section: Methodsmentioning

confidence: 99%

Neuron Blockchain Algorithm for Legal Problems in Inheritance of Legacy

Kim

2020

Electronics

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“…With the entry of active electrical devices such as electric vehicles in the area of customers and their role in the participation of DR programs, the existence of software that can adequately use this potential will be more necessary than before. Therefore, the use of Plug-loads Handling Software (PHS) for managing various loads (active and inactive) that are related to the market software is crucial [177]. Such software, in interaction with market software, provides optimal load reduction or curtailment without customer dissatisfaction.…”

Section: Enabling Technologies For the End-user Domainmentioning

confidence: 99%

An Overview of Demand Response: From its Origins to the Smart Energy Community

Honarmand¹,

Hosseinnezhad

Hayes

et al. 2021

IEEE Access

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The need to increase network efficiency, enhance reliability, and reduce environmental effects, as well as advances in communication infrastructures, have led to demand response (DR) becoming an essential part of smart grid operation. DR can provide power system operators with a range of flexible resources through different schemes. From the operational decision-making viewpoint, in practice, each scheme can affect the system performance differently. Therefore, categorizing different DR schemes based on their potential impacts on the power grid, operational targets, and economic incentives can embed a pragmatic and practical perspective into the selection approach. In order to provide such insights, this paper presents an extensive review of DR programs. A goal-oriented classification based on the type of market, reliability, power flexibility and the participants' economic motivation is proposed for DR programs. The benefits and barriers based on new classes are presented. Every involved party, including the power system operator and participants, can utilize the proposed classification to select a proper plan in the DR-related ancillary service ecosystem. The various enabling technologies and practical strategies for the application of DR schemes in various sectors are reviewed. Following this, changes in the procedure of DR schemes in the smart community concept are studied. Finally, the direction of future research and development in DR is discussed and analyzed.

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“…In order to implement the proposed algorithm, C language and MOSEK 7.1.0.54 has used. The proposed framework is trying to reduce the electricity cost [13]. Abrar (2016) has observed the power cut off and power blackout in India.…”

Section: Review Literaturementioning

confidence: 99%

Energy Efficient Load Optimization Techniques for Smart Grid with Futuristic Ideas

Kumar¹,

Singh²

2019

IJEAT

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The electrical network that is integrated with Internet of Things and synchronize the data in full duplex mode. The electrical grid is consists the generation, transmission, and distribution unit. A distribution unit is supply the energy to domestic and commercial areas. Our appliances need a rated voltage along with specified frequency. But the present scenario we have facing various type of challenges. Sometime our appliances received voltage from source is less than or greater than by its required rating. To overcome such type complications world requirement a next generation grid which fulfill our requirement as per specified at time of modeling and design of equipment/ machines. The smart grid consists the existing grid along with smart sensors, smart equipment, and real time monitoring & centralized controlling capabilities systems. We have performed a review of several research papers and occurred research gaps are discussed in this paper. This research paper is revealing the existing research gap and propose a solution to overcome occurred limitation

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Automated Energy Scheduling Algorithms for Residential Demand Response Systems

Cited by 24 publications

References 19 publications

Neuron Blockchain Algorithm for Legal Problems in Inheritance of Legacy

Neuron Blockchain Algorithm for Legal Problems in Inheritance of Legacy

An Overview of Demand Response: From its Origins to the Smart Energy Community

Energy Efficient Load Optimization Techniques for Smart Grid with Futuristic Ideas

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