Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method

A hybrid approach based on autoregressive integrated moving average and least-square support vector machine for long-term forecasting of net electricity consumption

(2020) Fazil Kaytez   ENERGY

Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting

(2020) Chaodong Fan et al.   NEUROCOMPUTING

Comparative studies among machine learning models for performance estimation and health monitoring of thermal power plants

(2020) Prabhas Hundi et al.   APPLIED ENERGY

Short-term load forecast using ensemble neuro-fuzzy model

(2020) M. Malekizadeh et al.   ENERGY

Optimal scheduling of multiple multi-energy supply microgrids considering future prediction impacts based on model predictive control

(2020) Bei Li et al.   ENERGY

Forecasting based on an ensemble Autoregressive Moving Average - Adaptive neuro - Fuzzy inference system – Neural network - Genetic Algorithm Framework

(2020) Francisco Prado et al.   ENERGY

Forecasting the industrial solar energy consumption using a novel seasonal GM(1,1) model with dynamic seasonal adjustment factors

(2020) Zheng-Xin Wang et al.   ENERGY

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

(2020) Guoqiang Zhang et al.   ENERGY

A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

(2020) Hui Liu et al.   ENERGY

Forecasting annual electricity consumption in China by employing a conformable fractional grey model in opposite direction

(2020) Wanli Xie et al.   ENERGY

Short-term load forecasting for microgrid energy management system using hybrid HHO-FNN model with best-basis stationary wavelet packet transform

(2020) Usman Bashir Tayab et al.   ENERGY

Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks

(2020) Zi Lin et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Ensemble learning approach based on stacking for unmanned surface vehicle's dynamics

(2020) Chen Cheng et al.   OCEAN ENGINEERING

Novel suboptimal approaches for hyperparameter tuning of deep neural network [under the shelf of optical communication]

(2020) M.A. Amirabadi et al.   Physical Communication

Multi-year long-term load forecast for area distribution feeders based on selective sequence learning

(2020) Ming Dong et al.   ENERGY

Traffic flow prediction based on combination of support vector machine and data denoising schemes

(2019) Jinjun Tang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Sequential grid approach based support vector regression for short-term electric load forecasting

(2019) Youlong Yang et al.   APPLIED ENERGY

A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China

(2019) Xin Ma et al.   ENERGY

A review of deep learning for renewable energy forecasting

(2019) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Time-series forecasting of coal-fired power plant reheater metal temperatures using encoder-decoder recurrent neural networks

(2019) Ryno Laubscher   ENERGY

Optimising the use of ensemble information in numerical weather forecasts of wind power generation

(2019) J Stanger et al.   Environmental Research Letters

Forecasting the aggregated output of a large fleet of small behind-the-meter solar photovoltaic sites

(2019) Hamid Shaker et al.   RENEWABLE ENERGY

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting

(2019) Di Wu et al.   IEEE Transactions on Smart Grid

Time series forecasting of solar power generation for large-scale photovoltaic plants

(2019) Hussein Sharadga et al.   RENEWABLE ENERGY

Adaptive Residual Compensation Ensemble Models for Improving Solar Energy Generation Forecasting

(2019) Heng-Yi Su et al.   IEEE Transactions on Sustainable Energy

Power Generation Forecast of Hybrid PV–Wind System

(2019) Mohammad Javad Sanjari et al.   IEEE Transactions on Sustainable Energy

Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model

(2018) Guo-Feng Fan et al.   APPLIED ENERGY

Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation

(2018) Laith M. Halabi et al.   APPLIED ENERGY

Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem

(2018) Priyanka Singh et al.   APPLIED ENERGY

Short-term forecasts of GHI and DNI for solar energy systems operation: assessment of the ECMWF integrated forecasting system in southern Portugal

(2018) Francis M. Lopes et al.   SOLAR ENERGY

An Ensemble Forecasting Method for the Aggregated Load With Subprofiles

(2018) Yi Wang et al.   IEEE Transactions on Smart Grid

Long-term electricity consumption forecasting based on expert prediction and fuzzy Bayesian theory

(2018) Lei Tang et al.   ENERGY

An ensemble approach for short-term load forecasting by extreme learning machine

(2016) Song Li et al.   APPLIED ENERGY

A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection

(2016) Song Li et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods

(2014) Pınar Tüfekci   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Determination Method of Insolation Prediction With Fuzzy and Applying Neural Network for Long-Term Ahead PV Power Output Correction

(2013) Atsushi Yona et al.   IEEE Transactions on Sustainable Energy

An optimal hybrid model for atomic power generation prediction in Japan

(2012) Guo-Dong Li et al.   ENERGY

Development and multi-utility of an ANN model for an industrial gas turbine

(2008) M. Fast et al.   APPLIED ENERGY