Machine learning-based time series models for effective CO2 emission prediction in India

S Kumari, SK Singh - Environmental Science and Pollution Research, 2023 - Springer
China, India, and the USA are the countries with the highest energy consumption and CO 2
emissions globally. As per the report of datacommons. org, CO 2 emission in India is 1.80 …

Times Series Forecasting of Monthly Rainfall using Seasonal Auto Regressive Integrated Moving Average with EXogenous Variables (SARIMAX) Model

S Mulla, CB Pande, SK Singh - Water Resources Management, 2024 - Springer
In this study, the monthly rainfall time series forecasting was investigated based on the
effectiveness of the Seasonal Auto Regressive Integrated Moving Average with EXogenous …

A hybrid method based on extreme learning machine and wavelet transform denoising for stock prediction

D Wu, X Wang, S Wu - Entropy, 2021 - mdpi.com
The trend prediction of the stock is a main challenge. Accidental factors often lead to short-
term sharp fluctuations in stock markets, deviating from the original normal trend. The short …

A Novel WD-SARIMAX model for temperature forecasting using daily delhi climate dataset

AM Elshewey, MY Shams, AM Elhady, SM Shohieb… - Sustainability, 2022 - mdpi.com
Forecasting is defined as the process of estimating the change in uncertain situations. One
of the most vital aspects of many applications is temperature forecasting. Using the Daily …

Investigating the nexus between inflation, financial development, and carbon emission: Empirical evidence from FARDL and frequency domain approach

SU Rahman, F Faisal, F Sami, A Ali, R Chander… - Journal of the …, 2024 - Springer
This study investigates the impact of the agriculture and industrial production in the carbon
emission function respectively using the quarterly data. The study applied the novel FARDL …

The connectedness between natural resource commodities and stock market indices: Evidence from the Chinese economy

CL Chang, M Fang - Resources Policy, 2022 - Elsevier
Currently, the prices of natural resource commodities are considered as the foremost factor
influencing stock market indices, which has attracted the attention of researchers and …

[HTML][HTML] Key SDG7 factors shaping the future of clean coal technologies: analysis of trends and prospects in Poland

A Rybak, A Rybak, J Joostberens, SD Kolev - Energies, 2024 - mdpi.com
This article presents the results of an analysis aimed at verifying the relationship between
the implementation of SDG Goal 7 and the use of clean coal technologies in Poland. Clean …

Renewable energy and globalization influence: assessing environmental degradation in Somalia

OA Hussein, KS Mohamed - Cogent Economics & Finance, 2024 - Taylor & Francis
The pressing issue of environmental degradation underscores the urgent need for collective
action to preserve and restore our planet's delicate balance. This study investigates the …

Suspended sediment yield forecasting with single and multi-objective optimization using hybrid artificial intelligence models

A Yadav, P Chithaluru, A Singh, MA Albahar, A Jurcut… - Mathematics, 2022 - mdpi.com
Rivers play a major role within ecosystems and society, including for domestic, industrial,
and agricultural uses, and in power generation. Forecasting of suspended sediment yield …

[HTML][HTML] Forecasting Maximum Temperature Trends with SARIMAX: A Case Study from Ahmedabad, India

V Shah, N Patel, D Shah, D Swain, M Mohanty… - Sustainability, 2024 - mdpi.com
Globalization and industrialization have significantly disturbed the environmental
ecosystem, leading to critical challenges such as global warming, extreme weather events …