A wavelet-nearest neighbor model for short-term load forecasting

Short term load forecasting using wavelet transform combined with Holt–Winters and weighted nearest neighbor models

(2015) G. Sudheer et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Forecasting electricity price and demand using a hybrid approach based on wavelet transform, ARIMA and neural networks

(2013) Sergey Voronin et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Performance comparisons of intelligent load forecasting structures and its application to energy-saving load regulation

(2013) Rong-Jong Wai et al.   SOFT COMPUTING

A hybrid intelligent approach for the prediction of electricity consumption

(2012) M. Amina et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market

(2011) S. Chakravarty et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-term load forecasting using lifting scheme and ARIMA models

(2010) Cheng-Ming Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Intelligent Hybrid Wavelet Models for Short-Term Load Forecasting

(2010) Ajay Shekhar Pandey et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Load Forecasting Using Hybrid Models

(2010) Madasu Hanmandlu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Forecasting nonlinear time series with a hybrid methodology

(2009) Cagdas Hakan Aladag et al.   APPLIED MATHEMATICS LETTERS

A methodology for short-term electric load forecasting based on specialized recursive digital filters

(2009) C.A. Maia et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Electric load forecasting methods: Tools for decision making

(2009) Heiko Hahn et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks

(2009) Z.A. Bashir et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm

(2008) N AMJADY et al.   ENERGY

Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks

(2007) R.E. Abdel-Aal   COMPUTERS & INDUSTRIAL ENGINEERING