A feature extraction- and ranking-based framework for electricity spot price forecasting using a hybrid deep neural network

Hourly day-ahead wind power forecasting with the EEMD-CSO-LSTM-EFG deep learning technique

(2020) A. Shobana Devi et al.   SOFT COMPUTING

Stochastic recurrent wavelet neural network with EEMD method on energy price prediction

(2020) Jingmiao Li et al.   SOFT COMPUTING

Energy load time-series forecast using decomposition and autoencoder integrated memory network

(2020) Jatin Bedi et al.   APPLIED SOFT COMPUTING

A novel ensemble method for hourly residential electricity consumption forecasting by imaging time series

(2020) Guoqiang Zhang et al.   ENERGY

Future prospects research on offshore wind power scale in China based on signal decomposition and extreme learning machine optimized by principal component analysis

(2020) Dunnan Liu et al.   Energy Science & Engineering

A novel hybrid deep neural network model for short‐term electricity price forecasting

(2020) Chiou‐Jye Huang et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

The input vector space optimization for LSTM deep learning model in real-time prediction of ship motions

(2020) Yucheng Liu et al.   OCEAN ENGINEERING

Short-term electricity load and price forecasting by a new optimal LSTM-NN based prediction algorithm

(2020) Gholamreza Memarzadeh et al.   ELECTRIC POWER SYSTEMS RESEARCH

Evaluating the effect of electric vehicle parking lots in transmission-constrained AC unit commitment under a hybrid IGDT-stochastic approach

(2020) Masoumeh Ahrabi et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices

(2019) Alessandro Brusaferri et al.   APPLIED ENERGY

A novel hybrid model based on neural network and multi-objective optimization for effective load forecast

(2019) Priyanka Singh et al.   ENERGY

Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine

(2019) Madasthu Santhosh et al.   Sustainable Energy Grids & Networks

An adaptive hybrid model for short term electricity price forecasting

(2019) Jinliang Zhang et al.   APPLIED ENERGY

Short-term electrical load forecasting based on error correction using dynamic mode decomposition

(2019) Xiangyu Kong et al.   APPLIED ENERGY

Load demand forecasting of residential buildings using a deep learning model

(2019) Lulu Wen et al.   ELECTRIC POWER SYSTEMS RESEARCH

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China

(2019) Tao Ma et al.   INFORMATION SCIENCES

A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks

(2019) Hamidreza Jahangir et al.   IEEE Transactions on Industrial Informatics

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

(2018) Jesus Lago et al.   APPLIED ENERGY

Electricity Price Forecasting Using Recurrent Neural Networks

(2018) Umut Ugurlu et al.   Energies

Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods

(2018) Gowri Suryanarayana et al.   ENERGY

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

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

Short-term electricity price forecasting and classification in smart grids using optimized multikernel extreme learning machine

(2018) Ranjeeta Bisoi et al.   NEURAL COMPUTING & APPLICATIONS

Short term load forecasting based on feature extraction and improved general regression neural network model

(2018) Yi Liang et al.   ENERGY

Forecasting day-ahead electricity prices using a new integrated model

(2018) Jin-Liang Zhang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A New Feature Selection Technique for Load and Price Forecast of Electrical Power Systems

(2017) Oveis Abedinia et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking

(2017) Azlyna Senawi et al.   PATTERN RECOGNITION

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

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

Short-term wind speed forecasting using empirical mode decomposition and feature selection

(2016) Chi Zhang et al.   RENEWABLE ENERGY

Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques

(2015) Sergio Jurado et al.   ENERGY

Correlation and instance based feature selection for electricity load forecasting

(2015) Irena Koprinska et al.   KNOWLEDGE-BASED SYSTEMS

Real-Time Optimal Dispatch and Economic Viability of Cryogenic Energy Storage Exploiting Arbitrage Opportunities in an Electricity Market

(2015) Hadi Khani et al.   IEEE Transactions on Smart Grid

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

Application of information-gap decision theory to risk-constrained self-scheduling of GenCos

(2012) Behnam Mohammadi-Ivatloo et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Comparing the applications of EMD and EEMD on time–frequency analysis of seismic signal

(2012) Tong Wang et al.   JOURNAL OF APPLIED GEOPHYSICS