Adaptive-Neuro Fuzzy Inference System for CO2 Emissions Data

L Abdullah, HM Pauzi - Intelligent and Fuzzy Techniques for Emerging …, 2022 - Springer
Carbon dioxide (CO 2) emission is one of the environmental issues nowadays and reported
has been steadily increasing in recent years due to rapid unsustainable economic activities …

Performance comparison of two fuzzy based models in predicting carbon dioxide emissions

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 two-stage methodology based on ensemble Adaptive Neuro-Fuzzy Inference System to predict carbon dioxide emissions

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 …

[HTML][HTML] Application of Artificial Intelligence to Predict CO2 Emissions: Critical Step towards Sustainable Environment

AM Nassef, AG Olabi, H Rezk, MA Abdelkareem - Sustainability, 2023 - mdpi.com
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 …

A fuzzy-neural approach for global CO2 concentration forecasting

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 …

[HTML][HTML] Energy Consumption, Economic Growth, and CO2 Emissions in G20 Countries: Application of Adaptive Neuro-Fuzzy Inference System

A Mardani, D Streimikiene, M Nilashi, D Arias Aranda… - Energies, 2018 - mdpi.com
Understanding the relationships among CO2 emissions, energy consumption, and
economic growth helps nations to develop energy sources and formulate energy policies in …

[PDF][PDF] The forecasting of iran natural gas consumption based on neural-fuzzy system until 2020

M Qanbari, S Javadi, NR SABBAGHI - 2013 - sid.ir
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 …

Forecasting air pollution by adaptive neuro fuzzy inference system

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 …

[HTML][HTML] Forecasting of day-ahead natural gas consumption demand in Greece using adaptive neuro-fuzzy inference system

K Papageorgiou, E I. Papageorgiou, K Poczeta… - Energies, 2020 - mdpi.com
(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 …

Incorporating the effects of hike in energy prices into energy consumption forecasting: a fuzzy expert system

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 …