UFNGBM (1,1): A novel unbiased fractional grey Bernoulli model with Whale Optimization Algorithm and its application to electricity consumption forecasting in China

Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach

(2021) Hai-Bao Chen et al.   ENERGY

A new dynamic model and transfer learning based intelligent fault diagnosis framework for rolling element bearings race faults: Solving the small sample problem

(2021) Yunjia Dong et al.   ISA TRANSACTIONS

Generalized fractional grey system models: The memory effects perspective

(2021) Wanli Xie et al.   ISA TRANSACTIONS

A Novel Whale Optimization Algorithm for the Design of Tuned Mass Dampers under Earthquake Excitations

(2021) Luis A. Lara-Valencia et al.   Applied Sciences-Basel

Small sample state of health estimation based on weighted Gaussian process regression

(2021) Hanmin Sheng et al.   Journal of Energy Storage

Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT

(2021) Bin Pu et al.   IEEE Transactions on Industrial Informatics

Accurate Deep Model for Electricity Consumption Forecasting Using Multi-channel and Multi-Scale Feature Fusion CNN–LSTM

(2020) Xiaorui Shao et al.   Energies

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

(2020) Guoqiang Zhang et al.   ENERGY

Effects of critical temperature, critical pressure and dryness of working fluids on the performance of the transcritical organic rankine cycle

(2020) Mingtao Wang 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

Forecasting the monthly iron ore import of China using a model combining empirical mode decomposition, non-linear autoregressive neural network, and autoregressive integrated moving average

(2020) Zheng-Xin Wang et al.   APPLIED SOFT COMPUTING

Continuous grey model with conformable fractional derivative

(2020) Wanli Xie et al.   CHAOS SOLITONS & FRACTALS

Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC)

(2020) Abdullah Khan et al.   COMPUTERS & ELECTRICAL ENGINEERING

Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data

(2020) Yuan Gao et al.   ENERGY AND BUILDINGS

Forecasting electricity consumption using a novel hybrid model

(2020) Guo-Feng Fan et al.   Sustainable Cities and Society

ED-ACNN: Novel attention convolutional neural network based on encoder–decoder framework for human traffic prediction

(2020) Bin Pu et al.   APPLIED SOFT COMPUTING

Application of a novel fractional grey prediction model with time power term to predict the electricity consumption of India and China

(2020) Chong Liu et al.   CHAOS SOLITONS & FRACTALS

Forecast of electricity consumption in the Cameroonian residential sector by Grey and vector autoregressive models

(2020) Serge Guefano et al.   ENERGY

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

(2020) Ping Jiang et al.   ENERGY

Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework

(2020) Bin Pu et al.   Future Generation Computer Systems-The International Journal of eScience

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

The conformable fractional grey system model

(2019) Xin Ma et al.   ISA TRANSACTIONS

Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model

(2019) Wenqing Wu et al.   RENEWABLE ENERGY

A Novel Power-Driven Grey Model with Whale Optimization Algorithm and Its Application in Forecasting the Residential Energy Consumption in China

(2019) Peng Zhang et al.   COMPLEXITY

Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption

(2019) Evangelos Spiliotis et al.   APPLIED ENERGY

Using a self-adaptive grey fractional weighted model to forecast Jiangsu’s electricity consumption in China

(2019) Xiaoyue Zhu et al.   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

Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms

(2018) P. Shine et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Forecasting China's electricity consumption using a new grey prediction model

(2018) Song Ding et al.   ENERGY

A deep learning model for short-term power load and probability density forecasting

(2018) Zhifeng Guo et al.   ENERGY

Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China

(2018) Lifeng Wu et al.   ENERGY

Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network

(2018) Yaoyao He et al.   APPLIED ENERGY

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

(2018) Lei Tang et al.   ENERGY

Modelling the nonlinear relationship between CO2 emissions and economic growth using a PSO algorithm-based grey Verhulst model

(2018) Zheng-Xin Wang et al.   JOURNAL OF CLEANER PRODUCTION

Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China

(2017) Xin Ma et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

A novel fractional grey system model and its application

(2016) Shuhua Mao et al.   APPLIED MATHEMATICAL MODELLING

Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting

(2016) Guohua Cao et al.   ENERGY

Deep belief network based electricity load forecasting: An analysis of Macedonian case

(2016) Aleksandra Dedinec et al.   ENERGY

Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

(2016) Young Tae Chae et al.   ENERGY AND BUILDINGS

Development of an optimization method for the GM(1,N) model

(2016) Bo Zeng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines

(2015) Fazil Kaytez et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Non-homogenous discrete grey model with fractional-order accumulation

(2014) Li-Feng Wu et al.   NEURAL COMPUTING & APPLICATIONS

Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data

(2013) Ma-Lin Song et al.   APPLIED ENERGY

A novel grey forecasting model and its optimization

(2012) Jie Cui et al.   APPLIED MATHEMATICAL MODELLING

An optimized NGBM(1,1) model for forecasting the qualified discharge rate of industrial wastewater in China

(2011) Zheng-Xin Wang et al.   APPLIED MATHEMATICAL MODELLING

Short-Term Load Forecasting Using Fuzzy Inductive Reasoning and Evolutionary Algorithms

(2010) V.H. Hinojosa et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Electricity consumption forecasting in Italy using linear regression models

(2009) Vincenzo Bianco et al.   ENERGY

Forecast of electricity consumption in Cyprus up to the year 2030: The potential impact of climate change

(2009) Theodoros Zachariadis   ENERGY POLICY

Discrete grey forecasting model and its optimization

(2008) Nai-ming Xie et al.   APPLIED MATHEMATICAL MODELLING

Application of the novel nonlinear grey Bernoulli model for forecasting unemployment rate

(2006) Chun-I Chen   CHAOS SOLITONS & FRACTALS