Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization

Optimizing the artificial neural network parameters using a biased random key genetic algorithm for time series forecasting

(2021) Zeynep Idil Erzurum Cicek et al.   APPLIED SOFT COMPUTING

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

(2021) K.U. Jaseena et al.   ENERGY CONVERSION AND MANAGEMENT

Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism

(2021) Ling Xiang et al.   MEASUREMENT

Implementing a just renewable energy transition: Policy advice for transposing the new European rules for renewable energy communities

(2021) Christina E. Hoicka et al.   ENERGY POLICY

A review on the attention mechanism of deep learning

(2021) Zhaoyang Niu et al.   NEUROCOMPUTING

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

(2021) Kushagra Bhatia et al.   Utilities Policy

Real-time electricity price forecasting of wind farms with deep neural network transfer learning and hybrid datasets

(2021) Haolin Yang et al.   APPLIED ENERGY

Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting

(2021) Sumeyra Demir et al.   APPLIED ENERGY

Sentiment classification using attention mechanism and bidirectional long short-term memory network

(2021) Peng Wu et al.   APPLIED SOFT COMPUTING

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

(2021) Zhen Shao et al.   ELECTRIC POWER SYSTEMS RESEARCH

Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China

(2021) Bolin Yu et al.   ENERGY

A novel machine learning-based electricity price forecasting model based on optimal model selection strategy

(2021) Wendong Yang et al.   ENERGY

The relationship between renewable energy and retail electricity prices: Panel evidence from OECD countries

(2021) Anna Maria Oosthuizen et al.   ENERGY

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

(2021) Wei Li et al.   ENERGY

Human action recognition using attention based LSTM network with dilated CNN features

(2021) Khan Muhammad et al.   Future Generation Computer Systems-The International Journal of eScience

Short-term wind speed forecasting based on long short-term memory and improved BP neural network

(2021) Gonggui Chen et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm

(2021) Yingchao Dong et al.   NEUROCOMPUTING

The relationship between energy prices, economic growth and renewable energy consumption: Evidence from Europe

(2021) Raymond Li et al.   Energy Reports

Wind power forecasting using attention-based gated recurrent unit network

(2020) Zhewen Niu et al.   ENERGY

Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach

(2020) Tomasz Jasiński   ENERGY

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

(2019) Shouxiang Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

(2019) Rahul Kumar Agrawal et al.   APPLIED ENERGY

The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices

(2019) Shadi Goodarzi et al.   ENERGY POLICY

Outlier-robust hybrid electricity price forecasting model for electricity market management

(2019) Jianzhou Wang et al.   JOURNAL OF CLEANER PRODUCTION

An adaptive hybrid model for short term electricity price forecasting

(2019) Jinliang Zhang et al.   APPLIED ENERGY

Forecast the electricity price of U.S. using a wavelet transform-based hybrid model

(2019) Weibiao Qiao et al.   ENERGY

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

(2018) Jesus Lago et al.   APPLIED ENERGY

Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction

(2018) Lu Peng et al.   ENERGY

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

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

A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm

(2018) Ya-Lan Hu et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm

(2016) Anbo Meng et al.   ENERGY CONVERSION AND MANAGEMENT

A new intelligent method based on combination of VMD and ELM for short term wind power forecasting

(2016) Ali Akbar Abdoos   NEUROCOMPUTING

Electricity price forecasting using a new data fusion algorithm

(2015) Ali Darudi et al.   IET Generation Transmission & Distribution

Crisscross optimization algorithm and its application

(2014) An-bo Meng et al.   KNOWLEDGE-BASED SYSTEMS

Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping

(2012) Xia Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS