Predicting China’s energy consumption: Combining machine learning with three-layer decomposition approach

An effective rolling decomposition-ensemble model for gasoline consumption forecasting

(2021) Lean Yu et al.   ENERGY

Data centre day-ahead energy demand prediction and energy dispatch with solar PV integration

(2021) Oluwafemi Ajayi et al.   Energy Reports

Predicting energy consumption for residential buildings using ANN through parametric modeling

(2021) Emad Elbeltagi et al.   Energy Reports

Hydroelectricity consumption forecast for Pakistan using ARIMA modeling and supply-demand analysis for the year 2030

(2020) Rehan Jamil   RENEWABLE ENERGY

Prediction of energy consumption in hotel buildings via support vector machines

(2020) Minglei Shao et al.   Sustainable Cities and Society

LSTM based long-term energy consumption prediction with periodicity

(2020) Jian Qi Wang et al.   ENERGY

A double decomposition-based modelling approach to forecast weekly solar radiation

(2020) Ramendra Prasad et al.   RENEWABLE ENERGY

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

(2020) Jiandong Duan et al.   ENERGY

Forecasting the non-renewable energy consumption by an adjacent accumulation grey model

(2020) Hongying Zhao et al.   JOURNAL OF CLEANER PRODUCTION

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

A developed hybrid forecasting system for energy consumption structure forecasting based on fuzzy time series and information granularity

(2020) Ping Jiang et al.   ENERGY

Empirical mode decomposition based hybrid ensemble model for electrical energy consumption forecasting of the cement grinding process

(2019) Zhao Liu et al.   MEASUREMENT

Visions for small-scale renewable energy production on Finnish farms – A Delphi study on the opportunities for new business

(2019) Pasi Rikkonen et al.   ENERGY POLICY

Predicting energy consumption: A multiple decomposition-ensemble approach

(2019) Cheng Zhou et al.   ENERGY

A novel decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns

(2018) Xiaobo Zhang et al.   APPLIED SOFT COMPUTING

Analysis and forecasting of the oil consumption in China based on combination models optimized by artificial intelligence algorithms

(2018) Jingrui Li et al.   ENERGY

A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting

(2018) Yishan Ding   ENERGY

Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks

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

A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing

(2018) Yachao Zhang et al.   ENERGY

A grey neural network and input-output combined forecasting model. Primary energy consumption forecasts in Spanish economic sectors

(2016) Xiuli Liu et al.   ENERGY

Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks

(2015) Hui Liu et al.   APPLIED ENERGY

Forecasting China’s energy demand and self-sufficiency rate by grey forecasting model and Markov model

(2015) Nai-ming Xie et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting

(2011) Jinxing Che et al.   ENERGY

Forecasting China's natural gas consumption based on a combination model

(2010) Gang Xu et al.   Journal of Natural Gas Chemistry

Rural energy survey and scenario analysis of village energy consumption: A case study in Lao People’s Democratic Republic

(2009) S.M. Mustonen   ENERGY POLICY