Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling

Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine

(2020) Yi Zhou et al.   ENERGY

Characterizing electricity market integration in Nord Pool

(2020) Jorge M. Uribe et al.   ENERGY

A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data

(2019) Gokul S. Krishnan et al.   APPLIED SOFT COMPUTING

Electricity Price Prediction Based on Hybrid Model of Adam optimized LSTM Neural Network and Wavelet Transform

(2019) Zihan Chang et al.   ENERGY

Development of soft sensors for isomerization process based on support vector machine regression and dynamic polynomial models

(2019) Srečko Herceg et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Forecasting day-ahead electricity prices in Europe: The importance of considering market integration

(2018) Jesus Lago et al.   APPLIED ENERGY

Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

(2018) Jesus Lago et al.   APPLIED ENERGY

Forecasting Functional Time Series with a New Hilbertian ARMAX Model: Application to Electricity Price Forecasting

(2018) Jose Portela Gonzalez et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Recent advances in electricity price forecasting: A review of probabilistic forecasting

(2018) Jakub Nowotarski et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks

(2018) Ping-Huan Kuo et al.   Sustainability

Maximization of energy absorption for a wave energy converter using the deep machine learning

(2018) Liang Li et al.   ENERGY

SVM-RFE: selection and visualization of the most relevant features through non-linear kernels

(2018) Hector Sanz et al.   BMC BIOINFORMATICS

A new electricity price prediction strategy using mutual information-based SVM-RFE classification

(2017) Zhen Shao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks

(2016) Dogan Keles et al.   APPLIED ENERGY

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

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

Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting

(2016) Bartosz Uniejewski et al.   Energies

Sequential wavelet-ANN with embedded ANN-PSO hybrid electricity price forecasting model for Indian energy exchange

(2016) Smitha Elsa Peter et al.   NEURAL COMPUTING & APPLICATIONS

New mechanism for archive maintenance in PSO-based multi-objective feature selection

(2016) Hoai Bach Nguyen et al.   SOFT COMPUTING

Particle swarm optimization-based feature selection in sentiment classification

(2016) Lin Shang et al.   SOFT COMPUTING

An integrated PSO for parameter determination and feature selection of ELM and its application in classification of power system disturbances

(2015) R. Ahila et al.   APPLIED SOFT COMPUTING

Electricity futures price models: Calibration and forecasting

(2015) Suren Islyaev et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

The ACEWEM framework: An integrated agent-based and statistical modelling laboratory for repeated power auctions

(2015) Daniil Kiose et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI

(2013) Darya Chyzhyk et al.   NEUROCOMPUTING

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

ICGA-PSO-ELM Approach for Accurate Multiclass Cancer Classification Resulting in Reduced Gene Sets in Which Genes Encoding Secreted Proteins Are Highly Represented

(2010) S Saraswathi et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Economic Impact of Electricity Market Price Forecasting Errors: A Demand-Side Analysis

(2009) H. Zareipour et al.   IEEE TRANSACTIONS ON POWER SYSTEMS