Load Forecasting Using Multi-Layer Perceptron Neural Network

  title={Load Forecasting Using Multi-Layer Perceptron Neural Network},
  author={Anamika Singh and Vinay Kumar Tripathi},
Load forecasting has become one of the major areas of research in electrical engineering and is an important problem in operation and planning of electric power generation. Load forecasting is the technique for prediction of electrical load. STLF (Short term load forecast) is essential for Power system planning. In a deregulated market it is much need for a generating company to know about the market load demand for generating near to accurate power. If the generation is not sufficient to… CONTINUE READING


Publications citing this paper.
Showing 1-2 of 2 extracted citations

Anomaly Detection in Vehicle-to-Infrastructure Communications

2018 IEEE 87th Vehicular Technology Conference (VTC Spring) • 2018
View 12 Excerpts
Highly Influenced


Publications referenced by this paper.
Showing 1-10 of 10 references

Forecasting electricity prices for a day-ahead pool-based electric energy market

Antonio J. Conejoa, Javier Contrerasa, Rosa Espı́nolaa, Miguel A. Plazasb

Verma"Load Forecasting using Fuzzy Methods "IEEE

Sandeep Sachdeva, Chander Mohan

niu"Intelligent short-term load forecasting based on pattern-base

Ying-chun guo, Dong-xiao
"Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kunming, • 2008

Artificial Neural Network Approach for Term Load Forecasting for Illam Region" INTERNATIONAL JOURNAL OF ELECTRICAL, COMPUTER, AND SYSTEMS ENGINEERING VOLUME 1 NUMBER

Mohsen Hayati, Yazdan

Plazas, “Forecasting electricity prices for a day-ahead poolbased electric energy market

A. J. Conejo, J. Contreras, M.A.R. Esp ́ınola
Int. J. Forecast • 2005

Customer short term load forecasting by using arima transfer function model "IEEE

M. Y. Cho, J. C. Hwang, C. S. Chen
Catalogue No • 1995

Similar Papers

Loading similar papers…