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Short-term load forecasting based on load profiling
2013 IEEE Power & Energy Society General Meeting, 2013Load forecasting has gradually becoming a major field of research in electricity industry. Therefore, Load forecasting is extremely important for the electric sector under deregulated environment as it provides a useful support to the power system management. Accurate power load forecasting models are required to the operation and planning of a utility
Ramos, Sérgio +3 more
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Robust short-term load forecasting
International Workshop on Systems, Signal Processing and their Applications, WOSSPA, 2011Analyzing the stochastic characteristics of electric consumption series in many countries shows the presence of atypical observations or outliers. Outliers are deviant data points that do not follow the model of the majority of observations. They significantly degrade the accuracy of conventional day-ahead estimation and forecasting methods even if ...
Yacine Chakhchoukh, Abdelhak M. Zoubir
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Standardization of short-term load forecasting models
2012 9th International Conference on the European Energy Market, 2012There has been a significant production of load forecasting models over the last 5 years. These models present a wide variety of techniques, most of them using novel artificial intelligence approaches. Load forecasting is a complex matter and it is the result of several processes that, depending on the database, may be of more or less importance ...
López García, Miguel +4 more
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Adaptive Weather-Sensitive Short Term Load Forecast
IEEE Transactions on Power Systems, 1987This paper introduces an adaptive, weather sensitive, short term load forecast algorithm that has been developed for two South Carolina Power Systems: CEPCI (Central Electric Power Cooperatives, Inc., Central for short) and Combined System. The model is based on a State Space formulation specially tailored for this application.
R. Campo, P. Ruiz
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Short Term Load Forecasting Based on Weather Load Models
IFAC Proceedings Volumes, 1987Abstract A stochastic weather load model for on-line forecasting of hourly load demands with lead times of 1 to 168 hours is presented. The proposed model considers the effect of up to 3 weather variables. The multi-input (hourly weather variables) and single output (hourly loads) stochastic process is modeled as an Auto Regressive-Moving Average ...
S. Vemuri, B. Hoveida, S. Mohebbi
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An ADMM-LSTM framework for short-term load forecasting
Neural Networks, 2023Accurate short-term load forecasting (STLF) is crucial for maintaining reliable and efficient operations within power systems. With the continuous increase in volume and variety of energy data provided by renewables, electric vehicles and other sources, long short-term memory (LSTM) has emerged as an attractive approach for STLF due to its ...
Shuo Liu +4 more
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Short-term load forecasting software tool
2018 7th International Conference on Computers Communications and Control (ICCCC), 2018A software tool developed in Matlab for short-term load forecasting (STLF) is presented. Different forecasting methods such as artificial neural networks, multiple linear regression, curve fitting have been integrated into a stand-alone application with a graphical user interface. Real power consumption data have been used.
Violeta Chis +3 more
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Short term load forecasting by ANN
2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009Short-term load forecasting (STLF) accuracy is very important for the power system. This study explores the application of neural networks to study the design of short-term load forecasting Systems for electricity market of Iran. In this paper, two seasonal artificial neural networks (ANNs) are designed and compared; so that model 2 (hourly load ...
A. Azadeh +2 more
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