An intelligent model to predict the day-ahead deregulated market clearing price: a hybrid NN, PSO and GA approach

Ostadi, Bakhtiar; Sedeh, Omid Motamedi; Kashan, Ali Husseinzadeh; Amin-Naseri, Mohammad Reza

doi:10.24200/sci.2018.50910.1909

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…It can be seen that particle swarm optimization pays more attention to the overall optimization ability. However, PSO algorithm also has some problems, such as premature convergence and easy to fall into local extremum, which are mainly attributed to the loss of population diversity in search space, and PSO algorithm does not have crossover and mutation operations, while the crossover mutation operation of genetic algorithm can better ensure population diversity (Barroso et al , 2016; Benvidi et al , 2017; Asadnia et al , 2017; Ji et al , 2017; Li et al , 2018; Xi et al , 2019; Khan et al , 2019; Ostadi et al , 2019).…”

Section: Establishment Of Prediction Modelmentioning

confidence: 99%

Research on underwear pressure prediction based on improved GA-BP algorithm

Cheng

Chen

Wang

2020

IJCST

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PurposeFor comfort evaluation of underwear pressure, this paper proposes an improved GA algorithm to optimize the weight and threshold of BP neural network, namely PSO-GA-BP neural network prediction model.Design/methodology/approachThe objective parameters of underwear, body shape data, skin deformation and other data are selected for simulation experiments to predict the objective pressure and subjective evaluation in dynamic and static state. Compared with the prediction results of BP neural network prediction model, GA-BP neural network prediction model and PSO-BP neural network prediction model, the performance of each prediction model is verified.FindingsThe results show that the BP neural network model optimized by PSO-GA algorithm can accelerate the convergence speed of the neural network and improve the prediction accuracy of underwear pressure.Originality/valuePSO-GA-BP model provides data support for underwear design, production and processing and has guiding significance for consumers to choose underwear.

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Section: Establishment Of Prediction Modelmentioning

confidence: 99%

Research on underwear pressure prediction based on improved GA-BP algorithm

Cheng

Chen

Wang

2020

IJCST

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“…GA is a heuristic algorithm of random search, which denotes the biological evolution. Such algorithms have been successfully used in solving hard optimization problems, those for which the steepest ancestry techniques go through local minima or remain incapable due to the complications [55]. Processing of numerical dataset for getting information is a tedious and computationally complex task because of the nature of the data.…”

Section: Genetic Algorithm (Ga)mentioning

confidence: 99%

A Genetic Algorithm based framework for mining quantitative association rules without specifying minimum support and minimum confidence

Moslehi

Haeri

2019

Scientia Iranica

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Discovering association rules is a useful and common technique for data mining, in which relations and co-dependencies of datasets are shown. One of the most important challenges of data mining is to discover the rules of continuous numerical datasets. Furthermore, another restriction imposed by algorithms in this area is the need to determine the minimum threshold for the support and con dence criteria. In this paper, a multi-objective algorithm for mining quantitative association rules is proposed. The procedure is based on the genetic algorithm, and there is no need to determine the extent of the threshold for the support and con dence criteria. By proposing a multi-criteria method, useful and attractive rules and the most suitable numerical intervals are discovered, without the need to discretize numerical values and determine the minimum support threshold and minimum con dence threshold. Di erent criteria are considered to determine appropriate rules. In this algorithm, selected rules are extracted based on con dence, interestingness, and cosine 2 . The results obtained from real-world datasets demonstrate the e ectiveness of the proposed approach. The algorithm is used to examine three datasets, and the results show the superior performance of the proposed algorithm compared to similar algorithms.

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“…To predict the future, forecasting, various methods have been developed such as time series [2][3] [4], econometrics [5] [6] [7], artificial intelligence [8][9] [10], grey forecasting model [11] [12] [13], and simulation [14] [15] [16] and among them econometrics is the most common one. However, econometrics suffers from some limitations; i.e., the true model for any given data is unknown and the formulated model depends on static parameters that need to be estimated from data [17].…”

Section: Introductionmentioning

confidence: 99%

Forecasting and making policies for Postal Services: system dynamics approach (Iran Post Company as a case study)

et al. 2020

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The main activity in postal services is to deliver letter mails and parcels. By changing customers' needs and behaviors along with emerging new technologies, postal services have to be renovated. Thus, understanding the changing environment, forecasting the performance, identifying key drivers, and making effective interventions are critical for any further actions. Performing these actions for Iran Post Company is the focus of this paper. Therefore, system dynamic approach is chosen, effective variables are determined and causal-loop diagram (CLD) and stock and flow diagram (SFD) are developed. The results are then validated using expert panels and historical data and the developed model is utilized for policy making. Therefore, two scenarios are designed based on changes in postal rates, quality of services and e-service market share. These scenarios could provide CEOs with critical information to make effective interventions.

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An intelligent model to predict the day-ahead deregulated market clearing price: a hybrid NN, PSO and GA approach

Cited by 7 publications

References 19 publications

Research on underwear pressure prediction based on improved GA-BP algorithm

Research on underwear pressure prediction based on improved GA-BP algorithm

A Genetic Algorithm based framework for mining quantitative association rules without specifying minimum support and minimum confidence

Forecasting and making policies for Postal Services: system dynamics approach (Iran Post Company as a case study)

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