load forecasting

Combination model of load forecasting has been a new directing of developing research.

The short-term load forecasting (STLF) of electric system is one of the important routines for power dispatch and utility departments.

The hybrid algorithm can be effectively used in short time load forecasting of the power system.

As a part of Energy Management System (EMS), daily load forecasting is very important for safety and economy operation of the power system.

Predicted results show that the improved control method to improve the air-conditioning system load forecasting is effective and feasible.

The proposed algorithms have been applied to short-term load forecasting and local pattern analysis of spatial associations.

This paper studies Bayesian neural network in power load forecasting, load forecasting power of the basic concepts and methods.

The core of this paper is to use combined forecasting to improve the accuracy of short-term electric power load forecasting.

From the traditional predictive technology to today's artificial intelligence technology, various load forecasting technology have emerged.

Secondly, analyzed the characteristics of term load forecasting, using support vector regression algorithm for long-term load forecasting.

Examples show that: semi-parametric regression model fitting results is better applied to load forecasting.

Accurate short-term load forecasting plays an essential role in planning, economical scheduling and security analysis in production.

Accurate load forecasting is helpful to the security and stability of power system as well as generation costs.

It has great significance on load forecasting, load management and load modeling.

Accurate short-term load forecasting is advantageous to ensure the safe operation and the optimization of scheduling of pipeline networks.

Processing data scientifically and rationally is necessary to improve the load forecasting precision.

High-speed and accurate load forecasting is required in the operation, dispatch and economical load dispatching of power system.

The system offers a powerful auxiliary tool for load forecasting work.

The main factor influencing the accuracy of load forecasting is the uncertainty of original data.

Ultra-short term load forecasting means forecasting the load in an hour.

This is evidenced by the fact that the existing price forecasting accuracy is far lower than that of load forecasting.

The paper studied Ultra-short term the load forecasting from two aspects: data preprocessing and forecast method.

The traditional load forecasting model based on fixed structure and parameters can no longer meet new load forecast requirements.

The existence of Bad data is a key component affecting the accuracy of bus load forecasting.

Processing historical load data is first to solve the problem in improving the load forecasting accuracy in power system.

A new method that applies wavelet analysis and time series theory to air conditioning load forecasting was presented.

In view of the establishment of rolling generating schedule, extended short-term load forecasting is presented in this paper.

According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.

A multi layer perception using three hidden layers is implemented for accurate load forecasting.

To process data scientifically and rationally is the most basic part to improve the load forecasting precision.

A novel method called load derivation is introduced for ultra-short term load forecasting of power system.

Accurate mid-long term load forecasting can improve the economic and social benefits of power system.

and finally, the expanding short-term load forecasting approach is adopted to modify the dirty data.

A new approach based on sequential minimal optimization(SMO) Algorithm for the electric power system load forecasting was presented.

Firstly, the common used short-time load forecasting methods are introduced.

Meanwhile, load forecasting is also the foundation of power station and power supply enterprises.

Seeking the causes of the chaos of load records is important to im prove the accuracy of short- term load forecasting.

its application significance lies in offering a new technique to load forecasting.

A new segmented multi-model combining load forecasting strategy was proposed in this paper.

According to fuzzy rough set theory, a comprehensive data mining method is proposed and applied in spatial load forecasting (SLF).

Basic framework of artificial neural network for load forecasting based on historical load data and temperature is presented .

The core of load forecasting is the technique of forecasting, or the mathematical model of forecasting.

According to the trait of power load, this paper proposes a PSO based fuzzy neural network model for short-term load forecasting.

Power load forecasting is the base of electrical power system planning.

Load forecasting model is the important tool for load forecasting.

The residential load forecasting was analyzed based on the association rules-mining of Data-Mining and Panel Data model in this article.

In this paper, a suit of short term load forecasting system based on web applied to North West Power Network has been developed.

Therefore, if the power grids want to obtain great benefit, they must have load forecasting technique which is accurate.

This paper presents a new algorithm for short term load forecasting based on the deterministic annealing technique.

After valid similar-days are selected, a novel ultra-Short term load forecasting method based on gray model is put forward.

This paper proposes a short term load forecasting (STLF) method by using clustering based support vector regression model.

In this paper, an adaptive bus load forecasting approach based on the thinking of virtual forecasting is proposed.

Firstly, in order to select forecasting samples in Ultra-short term load forecasting, grey correlation analysis theory was used.

The paper elaborates the importance of ultra-short term load forecasting in spot power market.

Daily load forecasting is a basic role of power market.

There are many load forecasting methods based on artificial intelligence and also based on statistical methods.

So the study of short-term load forecasting has been paid enough attentions in the past decades.

Electric short-term load forecasting is a quite important work in the Power System.

A problem encountered in the load forecasting is that there are a lot of factors influencing the load and many of them are uncertain.

Load forecasting accuracy has a direct impact on the development of power industry.

With the development of electricity market, more and more attention is paid to the precision of load forecasting.

Study of a novel model combined genetic algorithm with artificial neural network for the short-term load forecasting in power system

The Design and Realization of the Software used for Short-term Load Forecasting of Power System

The reformation study of the application of variable weight combination in the power load forecasting

Research on apparent temperature rolling forecast system and its application in short-term load forecasting in Hunan power grid

Power System Short Term Load Forecasting Based upon a Combination of Markov Chain and Fuzzy Clustering

Application of a Weather Component Based Elman Neural Network to Short-Term Load Forecasting

Application of the Grey Forecasting Model of Equidimensional Filling Vacancies in the Medium-long Term Load Forecasting of Power System

load forecasting; genetic programming; meteorological factors; human comfort;

Accelerated Genetic Algorithm Used to Load Forecasting for Power Systems

Power Load Forecasting Software Package and Its Application in Power Marketing Management

Application of the Functions of Two Improved Similar Days in Short-term Load Forecasting

Impact Analysis of Hourly Weather Factors in Short-Term Load Forecasting and Its Processing Strategy

Chaotic Time Series Forecasting and Its Applications in Power System's Short-term Load Forecasting

Artificial Neural Network Short- Term Load Forecasting and Its Realization

The Grey Model of Middle-long Term Load Forecasting and its Applications in the Power Supplying Systems

ANN Parallel Evolutionary Design and Its Application in Short-term Load Forecasting

Short term electric load forecasting model integrating multi intelligent computing approach

The Samples Updated Real-time Neural Network and Its Application in Short Term Load Forecasting

Overview of Wavelet Neural Network and Its Application in Power Load Forecasting

load forecasting; parametric; non-parametric; semi-parametric; two-stage least-squares method;

Application of Comprehensive Representative Element Analysis to Short-term Load Forecasting in the Power Grid

Nonlinear Theoretical Foundation and Improvement of Similar Days Method for Short Term Load Forecasting

Applications of BP Networks Trained by Hybrid Particle Swarm Optimization in Short Term Load Forecasting of Power System

Application of symbiotic evolutionary immune neural network in short -term load forecasting of power system

Analysis of the Gray Connection Degree About Error Margin of Short-Term Electric Load Forecasting

Principle and Method about Short-term Load Forecasting of Adopting Artificial Neural Network under Power Market

Short-term Load Forecasting for Abnormal Changes and Its Application

Research on Security Analysis of District Power Network Considering the Maximal Load Forecasting

Full-Electric Propulsion Ship; Power Load Forecasting; Least Squares-SVM; Ant Colony Algorithms;

Multifactor-influenced combined gray neural network models for power load forecasting

short-term load forecasting; artificial neural network; weather forecast;

The Non-linear Chaotic Improved Model of the Electric Power System Short-term Load Forecasting

Study of the Applied Method in Load Forecasting

Application of seasonal period forecasting method in seasonal load forecasting of power system

Application of Fractal Extrapolation Algorithm in Load Forecasting

Analysis for weights allocation with influence factors in power system short-term load forecasting

Application of Combination Forecast Method to Electric Load Forecasting for Power System

Application of Improving Fuzzy Clustering Algorithm to Power Load Forecasting

Identification and Manipulation of Anomalous Data of Load Sequence in Short-term Load Forecasting

Pollution load forecasting model and its application in Bohai Bay

An improved wavelet-Kalman filter based short term load forecasting for distribution systems

exploit market; load forecasting; financial crisis; power market;

The Discussion of Short-term Load Forecasting Applying Manual Neural Network Arithmetic

Short Term Load Forecasting Using Fuzzy Model of the Orthogonal Least Square Method

Liner Regression Method of Two-layer Fuzzy Factors for Load Forecasting

An Adaptable Automated Procedure for Short-Term Electricity Load Forecasting

Development and Application of Power System Mid-long Term Load Forecasting Software Package

Research on application of general regression neural network in short-term load forecasting

An Auto-Operating Intelligent Short-Term Load Forecasting System for Shenzhen Power Network

Application of Modified Residual Error Gray Prediction Model in Power Load Forecasting

Application of Artificial Neural Network in Medium and Long-term Electric Load Forecasting

Short-term Load Forecasting by Neural Network with Temperature Compensating

Short-term load forecasting using artificial neural network and adaptive fuzzy system

Rough Set Theory and Its Application in Short-term Load Forecasting

Medium-Term Electric Load Forecasting Using Artificial Neural Network

Research and Analysis on the Holiday Short-term Load Forecasting Research of Shanxi Power Network

Online-Learning Support Vector Machine Approach for Short Term Load Forecasting

Application of neural network and genetic algorithm in heating load forecasting

An Improved Method for Short-Term Electric Load Forecasting Using Time Series Techniques

Application of Spacial Load Forecasting in Power Grid Planning of Suzhou Industrial Park

The Application and Study in Electric Load Forecasting with No Deviation Grey Model

Fuzzy improvement of linear regression analysis for load forecasting

Analysis and comparison of several electric load forecasting methods

Application of Combination Forecasting by Fuzzy Method in Mid-and Long-Term Load Forecasting

Application of Hybrid-Model Neural Networks to Short-Term Electric Load Forecasting

Identification and Management to Anomalous Data in Short-term Load Forecasting

The Applications of Weighted Fuzzy Regression Method to Power Load Forecasting

Upper Limit Estimating of Short Term Load Forecasting Precision by Time Series Analysis

The Application of Artificial Neural Network in Medium-load Forecasting in Power System

Study and application of optimum and segmental correct model for power load forecasting

Design and Application of Short Term Load Forecasting Software System in Northwest Grid

A New Unified Approach to Short-term Load Forecasting Considering Correlated Factors

A Hybrid Learning Algorithm for Neural Network Based Power System Load Forecasting

A Reduced Dimensions Method Applying Neural Network in Short Term Load Forecasting

Application of Unbiased Grey Forecasting Model to Load Forecasting of Power System

The Application of Principal Component Analysis in Load Forecasting

Short-Term Electric Load Forecasting Based Trends Combination Model

Application of Functional Link Network for Short-term Online Load Forecasting

Application of fuzzy neural networks in nonlinear short-term load forecasting

Generating Fuzzy Model for Short-term Load Forecasting Using Hybrid Algorithm

Improved Cluster Analysis Based Ultra-short Term Load Forecasting Method

Application of Grey Model to the Ordinary Daily Electric Power Load Forecasting

Ant colony clustering-Elman neural network based model for short-term load forecasting

Application of RBF neural network and adapt-self fuzzy control for short-time load forecasting

Application of Wavelet and Fractal Theory on Data Treatment of Short-time Load Forecasting

The Method of the Quadratic Revision Function for Daily Load Forecasting

Improving accuracy of short-term load forecasting in Hunan electric power network

The improvement and application of grey model for electric power load forecasting

Application of Improved Method of Combined Forecasts to Urban Power Load Forecasting

Load Forecasting Using Power Elastic Coefficient Method

The application of fuzzy classification in the power system load forecasting

Application of genetic-fuzzy algorithm to short-term load forecasting of power system

The Application of BP Artificial Neural Network in Short-Term Load Forecasting System

Research on Short-term Load Forecasting Scheme of County-level Electric Power Network

Power System Load Forecasting: Current Status and Future Prospects

Application of Attribute Reduct Method in Spatial Load Forecasting

Short Term Probabilistic Load Forecasting Based on Statistics of Probability Distribution of Forecasting Errors

Application of soft computing and data mining in electrical load forecasting

Application Research of Short-term Load Forecasting for Power Supply Company

A Super Short-term Load Forecasting Method for County Level Grid with Planned Maintenance

A Research into Short-Term Load Forecasting for Industrial Corporations

Application of spatial load forecasting in urban power network planning

Parameter Selection and Optimization Method of SVM Model for Short-term Load Forecasting

Short Term Load Forecasting Using Chaos Phase Space Mode Linear Regression Model

Methods of Processing Shortage and Damage of Historical Data in Load Forecasting

Study on the Load Forecasting Method in Urban Distribution Network Planning

Load forecasting models combining sample pretreatment techniques based on chaos theory and pattern recognition

Research on load forecasting of fusion between D-S evidential theory improved BP network

A Pattern-Recognition-Based Adaptive System for Short Term Load Forecasting

Application of BP neural network algorithm on annual power load forecasting

Cascaded Network Based Short-term Load Forecasting of Electric Power System

Studies on Load Regularity Evaluating Method for Load Forecasting

Applications of neural network to short-term electric load forecasting

A modified period extrapolation method for short-term load forecasting

Effects of uncertainty in related elements to load forecasting results

A New Linear Regression Model from Electric Load Forecasting of Shandong Province

Hybrid short term load forecasting method using neural networks and fuzzy curve

Study on parameter robust estimation for mid-long term load forecasting of power system

Short-term load forecasting for special times using fuzzy inference method

Application of fuzzy clustering in subarea load forecasting

BP Neural Networks Model Based on Chaotic Analysis and Its Application on Power Load Forecasting

Updating of short-term load forecasting employing fuzzy expert system

Application of Evaluation System on Short-term Load Forecasting Model

Land usage-based spatial load forecasting in distribution system

Local Nonlinear Forecasting of Short-term Power Load Forecasting

An Unbiased Grey-Forecasting Model for Electric Load Forecasting

The Interval Sampling Chaotic Model of Electric Load Forecasting

Neural networks ensemble model for short-term load forecasting of power system

Power Systems; Medium and Long-term Load forecasting; Gray Model; D-S Evidence Theory;

Research on cascaded network model for short-term load forecasting in power system

Analysis and suggestion for the status of daily load forecasting

Application of Hybrid Fuzzy Neural Network in Short-Term Load Forecasting

Comparison of neural network methods for short-term load forecasting

Medium-Short Term Load Forecasting Methods in Electric Power Systems

Implementation of Short Term Load Forecasting System in Power System

Wavelet Support Vector Machines for Short-term Load Forecasting

creating load forecasting model to weather and price influence;

Application of Combination Grey Model in Power Load Forecasting

Mid-long term power load forecasting of mid-voltage distribution network

The Power Load Forecasting Model Based on the Optimum Grey Selection and its Application

Improved Decision Tree Method for Mid-Long Term Load Forecasting of Power System

Application of combined optimum grey model to mid and long term load forecasting

Application of Artificial ANN to Short-Term Load Forecasting in Power System

Application of Group Data Handling Method in Power Load Forecasting

Application of Load Derivation to Ultra-Short Term Load Forecasting

Distinguish to Select Similar Days from Short-term Load Forecasting

Application of chaotic time series theory in power load forecasting

Application of short-term load forecasting in Zhejiang power market

Spatial load forecasting for urban power network planning

Support Vector Machine Approach for Peak Load Forecasting

New Load Forecasting Technology for Electric Power System

A Hybrid Model Neural Network Based Approach to Short-term Load Forecasting

Input Parameters Selection in Short-term Load Forecasting Model Based on Incremental Reduction Algorithm

Medium-Term Electric Load Forecasting and Researches on Load Model

Short-term load forecasting by using hybrid neural network and wavelet transform

The application of expert system in electric load forecasting

The data processing technology in short-term load forecasting

Improved Case-based Reasoning for Short-term Load Forecasting

Application of Data Mining Technology in Gas Load Forecasting

The Expansion Strategy for Medium and Long Term Load Forecasting Model

The Application of Optimized Grey Model in the Load Forecasting of Power System

A Fuzzy Modeling Method for short-time load forecasting in electric system

Application of RBF Neural Network in Medium and Long-Term Load Forecasting

Short-Term Load Forecasting Using Immune Wavelet Network

Application of the Grey Theory in Mid-long Term's Load Forecasting

Electric power system short-term load forecasting based on time clustering restructuring chaotic phase space

The Research of the Load Forecasting Method of the Variable Structure Neural Network Based on the Fuzzy Treatment

A Study of Load Forecasting of Electric Power System Based on Data Warehouse

Study and Application of Novel Short Term Load Forecasting Method

Selecting method for similar day in super short-term load forecasting

Mid-long term load forecasting in power system by genetic programming

Study on Integrated Short Term Load Forecasting Model in Power System

Study on the improved method for mid-and long-term load forecasting of power system

Using cluster analysis method in short-term load forecasting

Application of Markov chain with weights to load forecasting

Short-term load forecasting using restructuring algorithm of phase space based on characteristic index

Short-term Load Forecasting Based on Subtractive Clustering Adaptive Neuro-fuzzy Inference System

Integrated model of power system load forecasting based on self-adaptive evolutionary programming

Code Reusing in Building Load Forecasting Software

Application of Load-Forecasting in Datong Power Network

Electric power system short-term load forecasting using lyapunov expo-nents technique

Comparison on some medium and long term load forecasting methods

A robust short-term load forecasting method using neural network

Applications of chaos theory to load forecasting in power system

Power Load Forecasting Method Base on Serial Grey Neural Network

Application of Chaos-ANN Model in Load Forecasting for Small Regions

Research on Electric-Power Load Forecasting Based on Support Vector Machine Regression Technique

Load Forecasting Based on BP ANN for Economical Operation of Electric Boiler with Heat Reservoir Under Time-sharing price

A practical method for combined short-term load forecasting