HM Pauzi, L Abdullah - Proceedings of the First International Conference …, 2014 - Springer
Many studies have been carried out worldwide to predict carbon dioxide (CO 2) emissions using various methods. Most of the methods are not sufficiently able to provide good …
A Mardani, Y Van Fan, M Nilashi, RE Hooker… - Journal of cleaner …, 2019 - Elsevier
Renewable energy should play a crucial role in increasing energy supplies and achieving the potential target of reducing 50% of CO 2 emissions by 2050. The main objective of this …
Prediction of carbon dioxide (CO2) emissions is a critical step towards a sustainable environment. In any country, increasing the amount of CO2 emissions is an indicator of the …
T Chen, YC Wang - Intelligent Data Analysis, 2011 - content.iospress.com
The global CO2 concentration is considered to be one of the most important causes of global warming that must be closely monitored, accurately forecasted, and controlled as …
Understanding the relationships among CO2 emissions, energy consumption, and economic growth helps nations to develop energy sources and formulate energy policies in …
In this paper, an Adaptive-Network-based Fuzzy Inference System (ANFIS) is used for forecasting of natural gas consumption. It is clear that natural gas consumption prediction for …
M Zeinalnezhad, AG Chofreh, FA Goni… - … conference on smart …, 2019 - ieeexplore.ieee.org
Air pollution causes a variety of adverse effects on humans such as illness or even death and damages the living organisms and the natural environment. This environmental issue …
(1) Background: Forecasting of energy consumption demand is a crucial task linked directly with the economy of every country all over the world. Accurate natural gas consumption …
V Majazi Dalfard, M Nazari Asli… - Neural Computing and …, 2013 - Springer
This paper proposes an adaptive fuzzy expert system to concurrently estimate and forecast both long-term electricity and natural gas (NG) consumptions with hike in prices. Using a …