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Optimized clusters for disaggregated electricity load forecasting
Optimized Clusters for Disaggregated Forecasting. 107. 1. INTRODUCTION. This paper is devoted to electricity load forecasting via the disaggrega- tion of the .
http://www.ine.pt/revstat/pdf/rs100202.pdf

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Long term electric load forecasting based on particle swarm ...
A particle swarm optimization is employed to minimize the error associated with the . Long term electric load forecasting based on particle swarm optimization .
http://ideas.repec.org/a/eee/appene/v87y2010i1p320-326.html

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Grid Power Optimization Based on Adapting Load Forecasting and ...
Grid Power Optimization Based on Adapting Load Forecasting and Weather . [4] , H. L. Willis, “Spatial Electric Load Forecasting,” Marcel Dekker, New York, .
http://www.scirp.org/journal/PaperInformation.aspx?paperID=19277

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Electric load combined forecasting model weights optimization using ...
The paper introduces an improved Particle swarm optimization (PSO) for electric load combination forecasting model weight optimization. The new method .
http://dl.acm.org/citation.cfm?id=1373861



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Short-Term Load Forecasting Using Curve Fitting Prediction ...
Feb 2, 2012 . Short-term load forecasting aims to predict electric loads for a period of . using Curve fitting prediction optimized by genetic algorithm is used .
http://article.sapub.org/10.5923.j.ijee.20120202.04.html



Combined modeling for electric load forecasting with adaptive ...
Electric load forecasting is crucial for managing electric power systems . The adaptive particle swarm optimization is employed to optimize the weight .
http://www.sciencedirect.com/science/article/pii/S0360544209005350



A New Estimation Algorithm for Electric Load Forecast Model ...
Key-words- Parameter identification, particle swarm optimization, load forecast. 1 INTRODUCTION. Electric power grids are considered the most complex man- .
http://www.wseas.us/e-library/conferences/2010/Iasi/NNECFS/NNECFS-10.pdf

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Application of chaotic ant swarm optimization in electric load ...
This investigation presents an SVR-based electric load forecasting model that applied a novel algorithm, namely chaotic ant swarm optimization (CAS), .
http://www.sciencedirect.com/science/article/pii/S0301421510004040

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Clustering Signals Using Wavelets
Optimized Clusters for. Disaggregated Electricity. Load Forecasting. Jean-Michel Poggi. Lab. de Mathématique, Univ. Paris-Sud, Orsay. &. Univ. Paris Descartes .
http://www.forecasters.org/submissions08/PoggiJean-MichelISF2008.pdf

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Load Forecasting - MATLAB
Power companies rely on accurate electricity load forecasting to minimize financial risk and optimize operational efficiency and reliability. MATLAB® enables .
http://www.mathworks.com/discovery/load-forecasting.html

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Electricity Load Forecasting Based on Support Vector ... - IEEE
Electricity Load Forecasting Based on Support Vector Machines and Simulated Annealing Particle Swarm Optimization Algorithm .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4339064

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Electric Load Forecasting Using Support Vector Machines Optimized
Electric load forecasting has become an important research area for secure . In tuning process of support vector machines there are few parameters to optimize.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4196442

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STLF Based on Optimized Neural Network Using PSO
neural network structure and connecting weights for one-day ahead electric load forecasting problem. PSO is a novel random optimization method based on .
http://www.waset.org/journals/waset/v52/v52-156.pdf

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Dynamically Optimizing Parameters in Support Vector Regression ...
parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily load. The real- .
http://www.computer.org/comp/proceedings/hicss/2006/2507/02/250720030c.pdf

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SHORT TERM LOAD FORECASTING
Short Term Load forecasting in this paper uses input data dependent on . electricity demand and outlines how this is being assessed for the rapidly growing Indian . Swarm Optimization”, Proceeding of the IEEE international conference on .
http://arxiv.org/pdf/0912.1015

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Electric Load Forecasting Using Support Vector Machines Optimized ...
Electric Load Forecasting Using Support Vector. Machines Optimized by Genetic Algorithm. Syed Rahat Abbas, Muhammad Arif. Department of Computer and .
http://ieeexplore.ieee.org/iel5/4196357/4141013/04196442.pdf?arnumber=4196442

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A New Approach for Short-Term Load Forecasting Using Curve Fitting
A New Approach for Short-Term Load Forecasting Using. Curve Fitting Prediction Optimized by Genetic Algorithms. M. A. Farahat and M. Talaat*. Electrical .
http://www.sdaengineering.com/MEPCON10/Papers/125.pdf

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About me - Tao Hong
His major areas of expertise are in forecasting and optimization. . teaching load forecasting and demand response related topics at both Electrical & Computer .
http://sites.google.com/site/hongtao01/aboutme

 
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Electrical Power Load Forecasting using Hybrid Self-Organizing ...
for mid-term electricity load forecasting compared to previous . The 2ndInternational Power Engineering and Optimization Conference (PEOCO 2008 ), Shah .
http://www.idsia.ch/~nagi/conferences/peoco_load_forecasting.pdf

Short-term hourly load forecasting of a hospital using an artificial ...
electricity supplier's invoice. 4) Historical reports. To achieve objectives 1) and 2) it is necessary a tool that provides a forecast of the standard load curve on a .
http://www.icrepq.com/icrepq'11/355-morinigo.pdf

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Middle-long power load forecasting based on particle swarm ...
Power load forecasting. Error index. Entropy. Particle swarm optimization. a b s t r a c t. Middle-long forecasting of electric power load is crucial to electric .
http://www.paper.edu.cn/index.php/default/scholar/downpaper/niudongxiao515060-201001-9

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One thing I found surprising and annoying is that two wheelers will be allowed on optimization of electrical load forecasting

Electricity Load Forecasting Based on Adaptive Quantum-Behaved ...
Electricity Load Forecasting Based on Adaptive Quantum-Behaved Particle. Swarm Optimization and Support Vector Machines on Global Level. Jingmin Wang .
http://ieeexplore.ieee.org/iel5/4725435/4725536/04725598.pdf?arnumber=4725598


Electric Load Forecasting Using Artificial Neural Networks and Deficit
An attempt is made to forecast electric load using neural networks. Neural . Keywords artificial neural network, optimization, short-term electric load fore- casting .
http://www.tandfonline.com/doi/abs/10.1080/00908319708908889

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Short-term Electricity Load Forecasting Based on Particle Swarm ...
In electricity industry, accurate load forecasting . recent decades, many researchers in load forecasting . This constrained optimization problem is solved .
http://www.atlantis-press.com/php/download_paper.php?id=1204

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Optimized Bidding of a EV Aggregation Agent in the Electricity Market
Batteries , Contracts , Electricity , Electricity supply industry , Load modeling , Optimization. INSPEC. Controlled Indexing. electric vehicles , load forecasting .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6003808




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One thing I found surprising and annoying is that two wheelers will be allowed on optimization of electrical load forecasting

Electricity Load Forecasting Based on Adaptive Quantum ... - IEEE
Electricity Load Forecasting Based on Adaptive Quantum-Behaved Particle Swarm Optimization and Support Vector Machines on Global Level .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4725598


Support Vector Machine Model in Electricity Load Forecasting - IEEE
The SVM model ensured the forecasting is optimized globally. Subsequently, examples of electricity load data from Hebei province of China are used to illustrate .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4028555

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Operate ‹ WindLogics — Develop, Operate and Trade Services
The load forecast model is optimized based on location-specific electrical load data and a broad range of weather input (not just temperature at a handful of .
http://www.windlogics.com/operate/

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SHORT TERM LOAD FORECASTING USING NEURO GENETIC ...
Load forecasting is an important component for energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions including decisions on . search and optimization algorithm based on the .
http://www.jatit.org/volumes/research-papers/Vol10No2/7Vol10No2.pdf

Study of core vector regression and particle swarm optimization for ...
This paper presents a rapid electric load forecasting algorithm based on Particle Swarm Optimization (PSO) and Core Vector Regression (CVR), called .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5405774

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Temperature sensitivity forecasting of electrical load - IEEE
Temperature sensitivity of electrical load means the amount of change in load . the effect of weather conditions to short-term and mid-term load forecasting. . Power Engineering and Optimization Conference (PEOCO), 2010 4th International .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5559226

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Electricity Load Forecasting Based on Adaptive Quantum-Behaved ...
Electricity Load Forecasting Based on Adaptive Quantum-Behaved Particle Swarm Optimization and Support Vector Machines on Global Level .
http://dl.acm.org/citation.cfm?id=1474957


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Application of Gray Forecasting Model Optimized by Genetic - IEEE
This method makes full use of the advantages of the gray forecasting model and . Model Optimized by Genetic Algorithm in Electricity Demand Forecasting . Load forecasting , Optimization methods , Power engineering computing .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5421457



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Load forecasting scheme based on energy efficiency for ... - IEEE
This work proposes a global load forecasting scheme to long-time, covering the . of electricity markets and implementing policies for energy optimization, it is .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5281966


Long-term industrial load forecasting and planning using neural - IEEE
Load forecasting plays a dominant part in the economic optimization and secure operation of electric power systems. The plans of the electric power sector have .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1492027


Optimizing of BP Neural Network based on genetic algorithms in ...
Accurate forecasting of electricity load has been one of the most important issues in . Secondly, it poses to optimize the neural network structure and connection .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6120019


Particle Swarm Optimization-Based RBF Neural Network Load - IEEE
Optimization; RBF neural network. I. INTRODUCTION. The ability to accurately forecast load is vitally important for the electric power system. Load forecasting .
http://ieeexplore.ieee.org/iel5/4918025/4918026/04918588.pdf?arnumber=4918588

Short term load forecasting in interconnected Greek power system ...
N. E. Mastorakis, Department of Electrical & Computer Science, Hellenic Naval . of the next day load in the interconnected Greek power system using an optimized ANN . Identification of ARMAX model for short term load forecasting: an .
http://dl.acm.org/citation.cfm?id=1938832


Power load forecasting using support vector machine and ant colony ...
The method of colony optimization is employed to process large amount of data and eliminate . load forecasting is very significant for the electric network's reli- .
http://www.paper.edu.cn/index.php/default/scholar/downpaper/niudongxiao515060-201001-11


Efficient Load Forecasting Optimized by Fuzzy Programming and ...
Efficient Load Forecasting Optimized by Fuzzy Programming and OFDM Transmission . Moreover, the advancements are going on in electrical and electronics .
http://www.hindawi.com/journals/afs/2011/326763/

A Novel hybrid genetic algorithm for kernel function and parameter ...
Kernel function optimization. Electrical load forecasting. Forecasting accuracy. a b s t r a c t. This study developed a novel model, HGA-SVR, for type of kernel .
http://www.knu.edu.tw/lecture/%E6%AD%B7%E5%B9%B4%E6%95%99%E5%AD%B8%E8%B3%87%E6%96%99/2009-05-13%E5%B9%B4%E7%A0%94%E7%A9%B6%E6%96%B9%E6%B3%95%E5%8F%83%E8%80%83%E6%96%87%E7%8D%BB/Exa.5.13.09/A%20Novel%20hybrid%20genetic%20algorithm%20for%20kernel%20function%20and%20parameter%20optimization%20in%20support%20vector.pdf


SHORT-TERM ELECTRIC LOAD FORECASTING USING LEAST ...
Efficient planning, operation and maintenance of a power system depend on load forecasting which is an integral part of this process. Electric load forecasting .
http://facta.junis.ni.ac.rs/acar/acar201001/acar2010-13.pdf


Demo Abstract: Toward Data-driven Demand-Response ...
Optimization in a Campus Microgrid . Ming Hsieh Department of Electrical Engineering, University of Southern . load forecasting models for the campus [1] .
http://ceng.usc.edu/~simmhan/pubs/simmhan-buildsys-2011.pdf


A Novel hybrid genetic algorithm for kernel function and parameter ...
Kernel function optimization. Electrical load forecasting. Forecasting accuracy. a b s t r a c t. This study developed a novel model, HGA-SVR, for type of kernel .
http://pdf.aminer.org/000/245/482/dynamically_optimizing_parameters_in_support_vector_regression_an_application_of.pdf



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Aniruddha Ghosal TNN

A Novel Particle Swarm Optimization Approach Combined with - IEEE
load forecasting. Index Terms?Fuzzy Neural Network, Particle Swarm. Optimization, Load forecasting. I. Introduction. TLF is vital to an electric power system's .
http://ieeexplore.ieee.org/iel5/4275198/4275199/04275297.pdf?arnumber=4275297


Middle-long power load forecasting based on particle swarm ...
Tags: entropy error index particle swarm optimization power load forecasting . Middle-long forecasting of electric power load is crucial to electric investment, .
http://dl.acm.org/citation.cfm?id=1537413


Application of multi-objective algorithm based on particle swarm - IEEE
Application of multi-objective algorithm based on particle swarm optimization in electrical short-term load forecasting. Cookies must be enabled to login.
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=4116387&contentType=Conference+Publications


Evolutionary Multiobjective Optimization of Kernel-Based Very-Short ...
challenge. The financial impact of an electrical blackout is very profound to both suppliers and consumers. Load forecasting has been identified as the key issue .
http://ieeexplore.ieee.org/iel5/59/6243218/06155068.pdf?arnumber=6155068


Development of an intelligent long-term electric load forecasting - IEEE
An essential element of electric utility resource planning is forecasting of the . for network architecture selection and optimization, and fuzzy rules for forecast . An overview of the current practice in long term load forecasting is presented, .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=501084

Artificial Immune System for Short-Term Electric Load Forecasting
Comparative Models for Electrical Load Forecasting, pp. 3-11. Wiley . The problem of binary optimization of a quadratic functional is discussed. By analyzing .
http://dl.acm.org/citation.cfm?id=1426537


Short Term Load Forecasting Using Evolutionary Optimized Modified
Optimized Modified Locally Weighted GMDH. Ehab E. . Abstract - Accurate forecasting of electricity load is one of . The hourly electricity load and temperature .
http://www.sdaengineering.com/MEPCON10/Papers/101.pdf



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Dipak Kumar Dash TNN

David Palchak Defense - Colorado State University - Calendar of ...
May 29, 2012 . The proposed algorithm for short-term load forecasting is optimized for . The performance of the predicted daily electrical load is evaluated .
http://events.colostate.edu/event_view.asp?ID=7&EID=39822


Clustering based formulation for Short Term Load Forecasting
and reduces the generation costs. In addition the accurate load forecasts are key data which are necessary for the electric power price forecast on the electric .
http://www.waset.org/journals/waset/v46/v46-20.pdf


Electric Load Forecasting by SVR with Chaotic Ant Swarm - IEEE
This paper presents a short-term electric load forecasting model which applies a novel algorithm, namely chaotic ant swarm optimization (CAS), to improve the .
http://ieeexplore.ieee.org/iel5/5507897/5518538/05518572.pdf?arnumber=5518572

Short Term Load Forecasting for Shiraz Region Using Adaptive ...
Short-term load forecasting (STLF) refers to forecast electrical loads for a period of . A particle swarm optimization to identifying the ARMAX model for short- .
http://www.ipcsit.com/vol22/12-ICCMS2012-S0028.pdf

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Mid-long Term Power Load Forecasting Based on MG-CACO and ...
a new model for load forecasting based on support vector machine and continuous ant colony optimization algorithm is established in this paper. A new .
http://ieeexplore.ieee.org/iel5/5487607/5497305/05497825.pdf?arnumber=5497825

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BP Neural Network Optimized with PSO Algorithm for Daily Load ...
alternative for forecasting electricity load. Keywords—Daily Load Forecasting, BP Neural. Network, Particle Swarm Optimization, Prediction. Accuracy. 1.
http://ieeexplore.ieee.org/iel5/4737476/4737706/04737732.pdf?arnumber=4737732

Computational Intelligence Techniques for Short-Term Electric Load ...
Electric load forecasting has received an increasing attention over the years by . David E. Goldberg, Genetic Algorithms in Search, Optimization and Machine .
http://dl.acm.org/citation.cfm?id=595597.595732

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Electrical Load Forecasting Based on Fuzzy Wavelet Neural Networks
Electrical Load Forecasting Based on Fuzzy Wavelet Neural Networks . it has many defects in some fields such as concavity processing, local optimization, .
http://dl.acm.org/citation.cfm?id=1582086

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RVM with wavelet kernel combined with PSO for short-term load ...
Abstract. This paper presents a new hybrid method for the short-term load forecasting in electric power systems based on particle swarm optimization (PSO) and .
http://pe.org.pl/articles/2012/1b/32.pdf

An improved fuzzy neural networks approach for short-term - IEEE
To solve the Short-Term Load Forecasting (STLF) tasks, this paper proposes to . An improved fuzzy neural networks approach for short-term electrical load forecasting . (artificial intelligence) , load forecasting , particle swarm optimisation .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5899139



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Intelligent Forecasting of Electricity Demand
considered the electrical load forecasting problem on all its time scales: short- term (hourly/daily) [9,15], . configuration resulting from architecture optimisation.
http://eprints.nuim.ie/1959/1/JR_C82JRpor.pdf

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A Novel Approach for Electrical Load Forecasting Using Distributed ...
Such information can easily improve electrical load forecasting and reduce . Cryptanalysis of Simplified Data Encryption Standard via Optimization Heuristics .
http://dl.acm.org/citation.cfm?id=1343684

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Telvent Selected to Provide Integrated Weather and Smart Grid ...
Feb 8, 2012 . The system helps operators accurately predict electrical load and make real-time dynamic adjustments, resulting in the optimization of the existing grid. Because weather accounts for up to 90 percent of load forecasting .
http://www.telvent.com/en/business_areas/environment/news_center/2012/Telvent-Selected-to-Provide-Integrated-Weather-and-Smart-Grid-Solutions-to-Accurately-Predict-Electrical-Load.cfm/

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Real-Coded GA for Parameter Optimization in Short-Term Load ...
This work explores the possibility of real-coded genetic optimization of the parameters of a Fuzzy Neural Network (FNN) for short-term electric load forecasting.
http://dl.acm.org/citation.cfm?id=1572859

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Influence of kNN-Based Load Forecasting Errors on Optimal Energy
Department of Electrical Engineering, University of Sevilla, Sevilla, Spain. {camel . of hourly load forecasting on the energy planning and operation of . scheduling comprises a set of interrelated optimization problems that require a load .
http://www.lsi.us.es/~riquelme/publicaciones/epia03_2.pdf

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Self Organization and Learning Methods in Short Term Electric Load ...
organization, and optimization. It is observed that these methods are better suited to problems like load forecasting where traditional statistical methods have .
http://www.tandfonline.com/doi/abs/10.1080/15325000290085370

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Artificial Neural Network based Short Term Load Forecasting of Power
Department of Electrical and Electronic Engineering,. American . Keywords. Load Forecasting, Power System, Particle Swarm Optimization. 1. INTRODUCTION .
http://research.ijcaonline.org/volume30/number4/pxc3875073.pdf

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term electricity load forecasting based on SAPSO - IEEE Xplore ...
convergence , electricity supply industry , load forecasting , neural nets , particle swarm optimisation , power engineering computing , simulated annealing .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4592906

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Support Vector Machine Model in Electricity Load Forecasting - IEEE
The SVM model ensured the forecasting is optimized globally. Subsequently, examples of electricity load data from Hebei province of China are used to illustrate .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4028555

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A Short-Term Load Forecasting Model Based on LS-SVM Optimized ...
North China Electric Power University, Baoding 071003, China zyy1986320@ sohu.com, 410513582@qq.com. Abstract. Short-term load forecasting is very .
http://www.springerlink.com/index/n315hk084091l747.pdf

Load and locational marginal pricing prediction in competitive - IEEE
An artificial neural network (ANN) is trained with a stochastic optimization technique called . Next Day Load Demand Forecasting of Future in Electrical Power .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5090183



Short-Term Load Forecasting for Electric Power Systems Using the ...
PSO is applied to optimize the model parameters. The complicated nonlinear relationships between the factors influencing the load and the load forecasting can .
http://www.mdpi.com/1996-1073/4/1/173/pdf

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Power system load forecasting based on MHBMO algorithm ... - IEEE
Considering the necessity of accurate power load demand prediction, a sufficient . has been known as one of the most famous and effective optimization tools. . Electrical system load forecasting with polynomial neural networks (based on .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5955811

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Optimized Bidding of a EV Aggregation Agent in the Electricity Market
Batteries , Contracts , Electricity , Electricity supply industry , Load modeling , Optimization. INSPEC. Controlled Indexing. electric vehicles , load forecasting .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6003808

Reactive power optimization with time-varying fuzzy load ... - IEEE
This methodology considers the uncertainties in load demands, therefore, control . fuzzy set theory , load (electric) , load forecasting , optimisation , power .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?tp=&arnumber=1047200

Load Forecasting, Curve Fitting Prediction, Genetic Algorithms ...
electrical power systems load forecasting play an important role for electrical . tion optimized by genetic algorithm is used for short – term load forecasting.
http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.ijee.20120202.04



Short-Term Load Forecasting Using Artificial Neural Network - IEEE
electricity supply industry , error statistics , load forecasting , neural nets , particle swarm optimisation , power engineering computing , power system planning .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4232733



Electrical Load Forecasting: Modeling and Model Construction: S.A. ...
Electrical Load Forecasting: Modeling and Model Construction: S.A. Soliman, Ahmad . Length: 440 pages; Optimized for larger screens; Don't have a Kindle?
http://www.amazon.com/Electrical-Load-Forecasting-Construction-ebook/dp/B0048EJW0S

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Parameter Estimation Based On Particle Swarm Optimization for ...
Swarm Optimization for Short Term Load. Forecasting . Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning .
http://dspace.thapar.edu:8080/dspace/bitstream/10266/1698/1/Kanu+Rani+(800941015)++29-8.pdf

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An Efficient Hybrid Model to Load Forecasting
Aug 5, 2010 . optimization. 1. Introduction. Load forecasting have become one of the major areas of research in electrical engineering because they are .
http://paper.ijcsns.org/07_book/201008/20100810.pdf

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Short-term load forecasting using optimized neural network with - IEEE
An optimized neural network modeling approach with genetic algorithm for . Numerical results show that our proposed power load forecasting approach is . Electr. Eng., West Virginia Univ., Morgantown, WV Noore, A. Page(s): 135 - 140 .
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1378676


Amazon.com: Applied Mathematics for Restructured Electric Power ...
Applied Mathematics for Restructured Electric Power Systems: Optimization, . control tuning using genetic algorithms, and load forecasting and component .
http://www.amazon.com/Applied-Mathematics-Restructured-Electric-Systems/dp/0387234705


Forecasting Electrical Load using ANN Combined with Multiple ...
the electrical load demand forecasting up to year 2020. This technique was . machines model, based on a genetic algorithm for optimization, for daily peak load .
http://ijj.acm.org/volumes/volume2/issue2/ijjvol2no9.pdf


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Optimizing of BP Neural Network Based on Genetic Algorithms in ...
Keywords- BP NN; Genetic Algorithm; power load; optimizing. I. INTRODUCTION. Load forecasting is a very crucial issue for the operational planning of electric .
http://ieeexplore.ieee.org/iel5/6109934/6119266/06120019.pdf?arnumber=6120019


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