An ensemble approach for electricity price forecasting in markets with renewable energy resources

Ensemble of relevance vector machines and boosted trees for electricity price forecasting

(2019) Rahul Kumar Agrawal et al.   APPLIED ENERGY

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

(2019) Matheus Henrique Dal Molin Ribeiro et al.   APPLIED SOFT COMPUTING

Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods

(2018) Erick Meira de Oliveira et al.   ENERGY

Exploring the sources of uncertainty: Why does bagging for time series forecasting work?

(2018) Fotios Petropoulos et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A combination approach based on a novel data clustering method and Bayesian recurrent neural network for day-ahead price forecasting of electricity markets

(2018) M. Ghayekhloo et al.   ELECTRIC POWER SYSTEMS RESEARCH

Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders

(2017) Long Wang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Day-ahead electricity price forecasting via the application of artificial neural network based models

(2016) Ioannis P. Panapakidis et al.   APPLIED ENERGY

A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system

(2016) Jianzhou Wang et al.   APPLIED SOFT COMPUTING

Forecasting Electricity Spot Prices Using Lasso: On Capturing the Autoregressive Intraday Structure

(2016) Florian Ziel   IEEE TRANSACTIONS ON POWER SYSTEMS

Probabilistic electricity price forecasting by improved clonal selection algorithm and wavelet preprocessing

(2016) Mehdi Rafiei et al.   NEURAL COMPUTING & APPLICATIONS

Spot electricity price forecasting in Indian electricity market using autoregressive-GARCH models

(2016) G.P. Girish   Energy Strategy Reviews

Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology

(2015) Kaijian He et al.   ENERGY

Electricity price forecast using Combinatorial Neural Network trained by a new stochastic search method

(2015) O. Abedinia et al.   ENERGY CONVERSION AND MANAGEMENT

Important variable assessment and electricity price forecasting based on regression tree models: classification and regression trees, Bagging and Random Forests

(2015) Camino González et al.   IET Generation Transmission & Distribution

Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids

(2015) Miltiadis Alamaniotis et al.   IEEE Transactions on Smart Grid

Mid-term electricity market clearing price forecasting: A multiple SVM approach

(2014) Xing Yan et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Load/Price Forecasting and Managing Demand Response for Smart Grids: Methodologies and Challenges

(2012) S.C. Chan et al.   IEEE SIGNAL PROCESSING MAGAZINE

Day-Ahead Deregulated Electricity Market Price Forecasting Using Recurrent Neural Network

(2012) S. Anbazhagan et al.   IEEE Systems Journal

Electricity price forecasting using artificial neural networks

(2011) Deepak Singhal et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An enhanced radial basis function network for short-term electricity price forecasting

(2010) Whei-Min Lin et al.   APPLIED ENERGY

Day-Ahead Price Forecasting of Electricity Markets by Mutual Information Technique and Cascaded Neuro-Evolutionary Algorithm

(2008) N. Amjady et al.   IEEE TRANSACTIONS ON POWER SYSTEMS