A novel genetic LSTM model for wind power forecast

Wind power prediction using a three stage genetic ensemble and auxiliary predictor

(2020) Farah Shahid et al.   APPLIED SOFT COMPUTING

Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network

(2019) Shuang Han et al.   APPLIED ENERGY

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

(2018) Lu Peng et al.   ENERGY

LSTM-EFG for wind power forecasting based on sequential correlation features

(2018) Ruiguo Yu et al.   Future Generation Computer Systems-The International Journal of eScience

Composite quantile regression extreme learning machine with feature selection for short-term wind speed forecasting: A new approach

(2017) Weiqin Zheng et al.   ENERGY CONVERSION AND MANAGEMENT

Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks

(2017) Aneela Zameer et al.   ENERGY CONVERSION AND MANAGEMENT

Accurate photovoltaic power forecasting models using deep LSTM-RNN

(2017) Mohamed Abdel-Nasser et al.   NEURAL COMPUTING & APPLICATIONS

Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches

(2015) Abbas Mardani et al.   Sustainability

A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network

(2014) Feng Yu et al.   APPLIED ENERGY

Solar energy prediction using linear and non-linear regularization models: A study on AMS (American Meteorological Society) 2013–14 Solar Energy Prediction Contest

(2014) S.K. Aggarwal et al.   ENERGY

Crisscross optimization algorithm and its application

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

Core loading pattern optimization of a typical two-loop 300MWe PWR using Simulated Annealing (SA), novel crossover Genetic Algorithms (GA) and hybrid GA(SA) schemes

(2013) Aneela Zameer et al.   ANNALS OF NUCLEAR ENERGY

Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine

(2013) Can Wan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction

(2013) Niya Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Genetic algorithm optimization for focusing through turbid media in noisy environments

(2012) Donald B. Conkey et al.   OPTICS EXPRESS

Current methods and advances in forecasting of wind power generation

(2011) Aoife M. Foley et al.   RENEWABLE ENERGY

Forecasting the Wind Generation Using a Two-Stage Network Based on Meteorological Information

(2009) Shu Fan et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Short-Term Prediction of Wind Farm Power: A Data Mining Approach

(2009) A. Kusiak et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering

(2008) P. Louka et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Wind power usage and prediction prospects in Lithuania

(2006) Mantas Marciukaitis et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS