Analysis and forecast of China's energy consumption structure

Electrifying light-duty passenger transport for CO2 emissions reduction: A stochastic-robust input–output linear programming model

(2021) Jidong Kang et al.   ENERGY ECONOMICS

Optimal way to achieve renewable portfolio standard policy goals from the electricity generation, transmission, and trading perspectives in southern China

(2020) Hongye Wang et al.   ENERGY POLICY

Drivers analysis and empirical mode decomposition based forecasting of energy consumption structure

(2020) Chenxia Xia et al.   JOURNAL OF CLEANER PRODUCTION

A multi-dimensional analysis on microeconomic factors of China's industrial energy intensity (2000–2017)

(2020) Chi Zhang et al.   ENERGY POLICY

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

Vector field-based support vector regression for building energy consumption prediction

(2019) Hai Zhong et al.   APPLIED ENERGY

Decomposition analysis of China's CO2 emissions (2000–2016) and scenario analysis of its carbon intensity targets in 2020 and 2030

(2019) Chi Zhang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Ensemble of relevance vector machines and boosted trees for electricity price forecasting

(2019) Rahul Kumar Agrawal et al.   APPLIED ENERGY

Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine

(2019) P. Shine et al.   APPLIED ENERGY

Carbon trading volume and price forecasting in China using multiple machine learning models

(2019) Hongfang Lu et al.   JOURNAL OF CLEANER PRODUCTION

Optimizing the Chinese Electricity Mix for CO2 Emission Reduction: An Input–Output Linear Programming Model with Endogenous Capital

(2019) Jidong Kang et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation

(2018) Xiaoyu Wang et al.   ENERGY

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

(2018) Yishan Ding   ENERGY

Strategy on China's regional coal consumption control: A case study of Shandong province

(2018) Yiqing Zhang et al.   ENERGY POLICY

Forecasting fossil energy consumption structure toward low-carbon and sustainable economy in China: Evidence and policy responses

(2018) Xu Zhao et al.   Energy Strategy Reviews

Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

(2018) Ramendra Prasad et al.   APPLIED ENERGY

Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study

(2016) Miriam Benedetti et al.   APPLIED ENERGY

Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks

(2016) Dogan Keles et al.   APPLIED ENERGY

Day-ahead electricity price forecasting via the application of artificial neural network based models

(2016) Ioannis P. Panapakidis et al.   APPLIED ENERGY

Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey

(2016) M. Erdem Günay   ENERGY POLICY

Energy structure of Turkey for sustainable development

(2016) Murat Ozturk et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Economic growth, energy consumption and carbone dioxide emissions: recent evidence from panel data analysis for 58 countries

(2015) Kais Saidi et al.   QUALITY & QUANTITY

Impacts of urbanization and industrialization on energy consumption/CO 2 emissions: Does the level of development matter?

(2015) Ke Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Predicting oil price movements: A dynamic Artificial Neural Network approach

(2014) Ali Abbasi Godarzi et al.   ENERGY POLICY

Bayesian rules and stochastic models for high accuracy prediction of solar radiation

(2013) Cyril Voyant et al.   APPLIED ENERGY

The Relationship Between Industry Structure, Household-number and Energy Consumption in China

(2013) S. H. Deng et al.   Energy Sources Part B-Economics Planning and Policy

A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting

(2012) Ling Tang et al.   APPLIED ENERGY

Forecasting monthly peak demand of electricity in India—A critique

(2012) Srinivasa Rao Rallapalli et al.   ENERGY POLICY

Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression

(2010) Kadir Kavaklioglu   APPLIED ENERGY

The long-term forecast of Taiwan’s energy supply and demand: LEAP model application

(2010) Yophy Huang et al.   ENERGY POLICY

The relationship between energy consumption structure, economic structure and energy intensity in China

(2009) Taiwen Feng et al.   ENERGY POLICY

Electricity consumption and associated GHG emissions of the Jordanian industrial sector: Empirical analysis and future projection

(2007) A. Al-Ghandoor et al.   ENERGY POLICY