An interpretable forecasting framework for energy consumption and CO2 emissions

An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting

(2022) Georgios Mitrentsis et al.   APPLIED ENERGY

Causal treatment effects in time series: CO2 emissions and energy consumption effect on GDP

(2022) Cristian Llanos et al.   ENERGY

The impact of COVID-19 on air passenger demand and CO2 emissions in Brazil

(2022) João Pedro Bazzo Vieira et al.   ENERGY POLICY

The impact of private sector energy investment, innovation and energy consumption on China's carbon emissions

(2022) Huang jiemin et al.   RENEWABLE ENERGY

Connectedness between nonrenewable and renewable energy consumption, economic growth and CO2 emission in Vietnam: New evidence from a wavelet analysis

(2022) Thanh Ha Le   RENEWABLE ENERGY

The integrated impact of GDP growth, industrialization, energy use, and urbanization on CO2 emissions in developing countries: Evidence from the panel ARDL approach

(2022) Mukut Sikder et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparative analysis on predictability of natural ventilation rate based on machine learning algorithms

(2021) Hansaem Park et al.   BUILDING AND ENVIRONMENT

Estimating the European CO2 emissions change due to COVID-19 restrictions

(2021) Valeria Andreoni   SCIENCE OF THE TOTAL ENVIRONMENT

Interpretable Forecasting of Energy Demand in the Residential Sector

(2021) Nikos Sakkas et al.   Energies

Machine Learning in Screening High Performance Electrocatalysts for CO 2 Reduction

(2021) Ning Zhang et al.   Small Methods

Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms

(2021) Ümit Ağbulut   Sustainable Production and Consumption

Customer purchase forecasting for online tourism: A data-driven method with multiplex behavior data

(2021) Shui-xia Chen et al.   TOURISM MANAGEMENT

Forecasting CO2 emissions of China's cement industry using a hybrid Verhulst-GM(1,N) model and emissions' technical conversion

(2020) Jeffrey Ofosu-Adarkwa et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Explainable AI: A Review of Machine Learning Interpretability Methods

(2020) Pantelis Linardatos et al.   Entropy

Do carbon emissions impact the health of residents? Considering China's industrialization and urbanization

(2020) Hanmin Dong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An Estimation of Transport Energy Demand in Turkey via Artificial Neural Networks

(2019) Muhammed Yasin Çodur et al.   Promet-Traffic & Transportation

Machine Learning Interpretability: A Survey on Methods and Metrics

(2019) Diogo V. Carvalho et al.   Electronics

Influencing factors analysis and forecasting of residential energy-related CO2 emissions utilizing optimized support vector machine

(2019) Lei Wen et al.   JOURNAL OF CLEANER PRODUCTION

Conventional models and artificial intelligence-based models for energy consumption forecasting: A review

(2019) Nan Wei et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Testing the role of oil production in the environmental Kuznets curve of oil producing countries: New insights from Method of Moments Quantile Regression

(2019) George N. Ike et al.   SCIENCE OF THE TOTAL ENVIRONMENT

The dynamic links between CO 2 emissions, energy consumption and economic development in the countries along “the Belt and Road”

(2018) Yunyang Liu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Energy consumption and CO 2 emissions in Iran, 2025

(2017) Maryam Mirzaei et al.   ENVIRONMENTAL RESEARCH

The effect of urbanization and industrialization on carbon emissions in Turkey: evidence from ARDL bounds testing procedure

(2017) Ugur Korkut Pata   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

An ARDL approach to the CO2 emissions, renewable energy and economic growth nexus: Tunisian evidence

(2017) Abdelbaki Cherni et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Prediction and analysis of the three major industries and residential consumption CO 2 emissions based on least squares support vector machine in China

(2016) Wei Sun et al.   JOURNAL OF CLEANER PRODUCTION

Neural network approach with teaching–learning-based optimization for modeling and forecasting long-term electric energy demand in Turkey

(2016) Murat Kankal et al.   NEURAL COMPUTING & APPLICATIONS

Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries

(2015) Mak B. Arvin et al.   Utilities Policy

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model

(2012) Hsiao-Tien Pao et al.   ENERGY

Projection of future transport energy demand of Thailand

(2011) Thirayoot Limanond et al.   ENERGY POLICY

Energy consumption, carbon emissions, and economic growth in China

(2009) Xing-Ping Zhang et al.   ECOLOGICAL ECONOMICS