Related references
Note: Only part of the references are listed.Optimal Control of an Energy-Storage System in a Microgrid for Reducing Wind-Power Fluctuations
Rahmat Aazami et al.
SUSTAINABILITY (2022)
Robust Control Strategies for Microgrids: A Review
Fazel Mohammadi et al.
IEEE SYSTEMS JOURNAL (2022)
A New Model Predictive Control Method for Buck-Boost Inverter-Based Photovoltaic Systems
Saeed Danyali et al.
SUSTAINABILITY (2022)
Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short-term memory neural network
Jiandong Duan et al.
ENERGY (2021)
A self-adaptive kernel extreme learning machine for short-term wind speed forecasting
Liye Xiao et al.
APPLIED SOFT COMPUTING (2021)
Forecasting wavelet neural hybrid network with financial ensemble empirical mode decomposition and MCID evaluation
Yu Yang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting
Eric Ofori-Ntow Jnr et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Short-term load forecasting of industrial customers based on SVMD and XGBoost
Yuanyuan Wang et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)
Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network
Cong Wang et al.
APPLIED ENERGY (2020)
A hybrid model for building energy consumption forecasting using long short term memory networks
Nivethitha Somu et al.
APPLIED ENERGY (2020)
Using a self-adaptive grey fractional weighted model to forecast Jiangsu's electricity consumption in China
Xiaoyue Zhu et al.
ENERGY (2020)
Ultra-short term wind prediction with wavelet transform, deep belief network and ensemble learning
He Jiajun et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting
Wenlong Fu et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
A new combined model based on multi-objective salp swarm optimization for wind speed forecasting
Zishu Cheng et al.
APPLIED SOFT COMPUTING (2020)
Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study
Dongxiao Niu et al.
APPLIED SOFT COMPUTING (2020)
SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting
Georgios N. Kouziokas
APPLIED SOFT COMPUTING (2020)
A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets
Gholamreza Memarzadeh et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Study on environment-concerned short-term load forecasting model for wind power based on feature extraction and tree regression
Jicheng Liu et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Fractional Hausdorff grey model and its properties
Yan Chen et al.
CHAOS SOLITONS & FRACTALS (2020)
An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China
Wuyong Qian et al.
ENERGY (2020)
A novel probabilistic short-term wind energy forecasting model based on an improved kernel density estimation
Jiansheng Guan et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2020)
SVR-DEA model of carbon tax pricing for China's thermal power industry
Yunfei An et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Forecasting electricity consumption using a novel hybrid model
Guo-Feng Fan et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition
Xiaoan Yan et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
A new method of diesel fuel brands identification: SMOTE oversampling combined with XGBoost ensemble learning
Shutao Wang et al.
FUEL (2020)
Probability density forecasting of wind power based on multi-core parallel quantile regression neural network
Yaoyao He et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Azim Heydari et al.
APPLIED ENERGY (2020)
Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation
Bin Wang et al.
ENERGY ECONOMICS (2020)
Disaggregating time series on multiple criteria for robust forecasting: The case of long-term electricity demand in Greece
Dimitrios Angelopoulos et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2019)
Probabilistic forecast reconciliation with applications to wind power and electric load
Jooyoung Jeon et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2019)
A hybrid deep learning-based neural network for 24-h ahead wind power forecasting
Ying-Yi Hong et al.
APPLIED ENERGY (2019)
Representation learning with extreme learning machines and empirical mode decomposition for wind speed forecasting methods
Hao-Fan Yang et al.
ARTIFICIAL INTELLIGENCE (2019)
Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
Aasim et al.
RENEWABLE ENERGY (2019)
A conditional model of wind power forecast errors and its application in scenario generation
Zhiwen Wang et al.
APPLIED ENERGY (2018)
Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks
Karl Mason et al.
ENERGY (2018)
A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors
Zheng-Xin Wang et al.
ENERGY (2018)
Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods
Erick Meira de Oliveira et al.
ENERGY (2018)
Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China
Lifeng Wu et al.
ENERGY (2018)
An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm
Hui Liu et al.
RENEWABLE ENERGY (2018)
A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
Ya-Lan Hu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
The effect of wind and solar power forecasts on day-ahead and intraday electricity prices in Germany
Marc Guertler et al.
ENERGY ECONOMICS (2018)
Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods
Zhang Yang et al.
APPLIED ENERGY (2017)
Grey double exponential smoothing model and its application on pig price forecasting in China
Lifeng Wu et al.
APPLIED SOFT COMPUTING (2016)
Grey system model with the fractional order accumulation
Lifeng Wu et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2013)