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A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST
Published 2010“…Generally speaking, power systems worldwide are using load forecast as an essential part of off-line network analysis. …”
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Thesis -
2
An application of artificial neural network on short term load forecasting using back propagation algorithm / Elia Erwani Hassan
Published 1998“…This study is covered a new approach to load forecasting using Artificial Neural Network (ANNs). …”
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3
One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network
Published 2012“…In this project, an Artificial Neural Network (ANN) trained by the Invasive Weed Optimization (IWO) learning algorithm is proposed for short term load forecasting (STLF) model. …”
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Student Project -
4
M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…Most of the electricity load demand studies showed that this event affects the accuracy of load forecasting. …”
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Monograph -
5
Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…Most of the electricity load demand studies showed that this event affects the accuracy of load forecasting. …”
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6
Improved bacterial foraging optimization algorithm with machine learning-driven short-term electricity load forecasting: a case study in peninsular Malaysia
Published 2024“…Finally, the load forecasting model based on LSSVM-IBFOA is constructed using mean absolute percentage error (MAPE) as the objective function. …”
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7
Improved bacterial foraging optimization algorithm with machine learning driven short term electricity load forecasting: A case study in Peninsular Malaysia
Published 2024“…Finally, the load forecasting model based on LSSVM‑IBFOA is constructed using mean absolute percentage error (MAPE) as the objective function. …”
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8
Weighted subsethood segmented fuzzy time series for moving holiday electricity load demand forecasting
Published 2020“…This paper modifies the classical fuzzy time series (FTS) algorithm by applying weighted subsethood based algorithm (WSBA) in FTS algorithm using segmented electricity load demand time series data. …”
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9
Optimization of neural network architecture using genetic algorithm for load forecasting
Published 2014“…The network structures are normally selected on the basis of the developer's prior knowledge or hit and trial approach is used for this purpose. ANN based models are frequently used for the prediction of future load, because of their learning and mapping ability to address the non linear nature of electrical load. …”
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Conference or Workshop Item -
10
Multi-scene design analysis of integrated energy system based on feature extraction algorithm
Published 2022“…Finally, according to the given feature vectors, the feature clustering models of various energy loads are established by using K-means clustering algorithm, and the load forecasting results of multi-energy systems are obtained. …”
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11
CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…ANN based STLF models commonly use back-propagation algorithm, which generally exhibits a slow and improper convergence that affects the forecast accuracy. …”
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12
A novel hybrid metaheuristic algorithm for short term load forecasting
Published 2017“…Electric load forecasting is undeniably a demanding business due to its complexity and high nonlinearity features. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
15
ARAR algorithm in forecasting electricity load demand in Malaysia
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An application barnacles mating optimizer for forecasting of full load electrical power output
Published 2020“…In this study, a rather new meta-heuristic algorithm is employed in full load electrical power output forecasting viz. …”
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Conference or Workshop Item -
17
Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.]
Published 2017“…Afterwards, data mining algorithms were applied in order to forecast electric load. …”
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18
Optimal short term load forecasting using LSSVM and improved BFOA considering Malaysia pandemic disrupted situation
Published 2024“…Inaccurate forecasts can have substantial economic consequences, especially during peak load periods. …”
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19
Hybrid Metaheuristic Algorithm for Short Term Load Forecasting
Published 2016“…Electric load forecasting is undeniably a demanding business due to its complexity and high nonlinearity features. …”
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Load forecasting using time series models
Published 2009“…Load forecasting is a process of predicting the future load demands. …”
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