Results 261 to 270 of about 127,521 (300)
Some of the next articles are maybe not open access.
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
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
openaire +4 more sources
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
openaire +1 more source
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
openaire +1 more source
Recursive short-term load-forecasting algorithm
Proceedings of the Institution of Electrical Engineers, 1974The problem of forecasting the integrated-load demand of an interconnected power system is studied. It is proposed that the harmonic-series model for the weekly load pattern be expressed in the state-variable form. This then permits the use of Kalman-filtering techniques, for load-prediction purposes.
K.L.S. Sharma, A.K. Mahalanabis
openaire +1 more source
Local Regression-Based Short-Term Load Forecasting
Journal of Intelligent and Robotic Systems, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Short Term Load Forecasting Using XGBoost
2019For efficient use of smart grid, exact prediction about the in-future coming load is of great importance to the utility. In this proposed scheme initially we converted daily Australian energy market operator load data to weekly data time series. Furthermore, we used eXtreme Gradient Boosting (XGBoost) for extracting features from the data.
Raza Abid Abbasi +5 more
openaire +1 more source
Interactive short-Term Load Forecasting
1982The general objective of planning in power system utilities is to ensure a secure and economic energy supply. The prediction of the load curve, usually for one or more days in advance provides the basis of the short-term operation planning.
openaire +1 more source