Results 251 to 260 of about 215,326 (298)

Short-term load forecasting software tool

2018 7th International Conference on Computers Communications and Control (ICCCC), 2018
A 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, Constantin Barbulescu, Stefan Kilyeni, Simona Dzitac   +3 more
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An Image Inpainting Approach to Short-Term Load Forecasting

IEEE Transactions on Power Systems, 2023
In current power systems, electrical energy is generated whenever there is a demand for it. Therefore, load forecasting, which estimates the active load in advance, is imperative for power system planning and operations.
Yanzhu Liu, Shreyash K. Dutta, A. Kong, C. Yeo   +3 more
semanticscholar   +1 more source

Short term load forecasting by ANN

2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009
Short-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, S.F. Ghadrei, B.Pourvalikhan Nokhandan   +2 more
openaire   +1 more source

Recursive short-term load-forecasting algorithm

Proceedings of the Institution of Electrical Engineers, 1974
The 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, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Short Term Load Forecasting Using XGBoost

2019
For 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, Nadeem Javaid, Muhammad Nauman Javid Ghuman, Zahoor Ali Khan, Shujat Ur Rehman, null Amanullah   +5 more
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Interactive short-Term Load Forecasting

1982
The 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.
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A neural network short-term load forecaster

Electric Power Systems Research, 1994
Abstract This paper presents a neural network based approach to short-term load forecasting, which plays an important role in the day to day operation and scheduling of power systems. A four-layer feedforward neural network, trained by a back-propagation learning algorithm, has been applied for forecasting the hourly load of a power system.
Srinivasan, D., Liew, A.C., Chang, C.S.
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Fuzzy approach for short term load forecasting

Electric Power Systems Research, 2006
Abstract The main objective of short term load forecasting (STLF) is to provide load predictions for generation scheduling, economic load dispatch and security assessment at any time. The STLF is needed to supply necessary information for the system management of day-to-day operations and unit commitment.
S. Chenthur Pandian, K. Duraiswamy, C. Christober Asir Rajan, N. Kanagaraj   +3 more
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Short Term Load Forecasting Based on Bayesian Forecasting Model

2020 International Conference on Wireless Communications and Smart Grid (ICWCSG), 2020
Short term load forecasting plays an increasingly important role in Smart Grid. Short term load forecasting is also an important part of enterprise power system management. Providing accurate load time series data for a certain period of time in the future can enable enterprises to ensure the smooth operation of production while making a reasonable ...
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