Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction

ZX Hoy, ZX Phuang, AA Farooque, Y Van Fan… - Environmental …, 2024 - Elsevier
Improper municipal solid waste (MSW) management contributes to greenhouse gas
emissions, necessitating emissions reduction strategies such as waste reduction, recycling …

Dioxin emissions from municipal solid waste incineration in the context of waste classification policy

B Liu, Z Han, X Liang - Atmospheric Pollution Research, 2023 - Elsevier
Municipal solid waste incineration is gradually becoming the main method of waste
disposal, but waste incineration produces many organic pollutants (eg, dioxins). In order to …

The use of Google community mobility reports to model residential waste generation behaviors during and after the COVID-19 lockdown

TS Mahmud, KTW Ng, S Ray, L Lyu, C An - Sustainable Cities and Society, 2023 - Elsevier
This paper proposed an original analytical approach to quantify waste generation and
recycling behaviors in Regina, a Canadian capital city, using Google's Community Mobility …

A cross-jurisdictional comparison on residential waste collection rates during earlier waves of COVID-19

TS Mahmud, KTW Ng, MM Hasan, C An… - Sustainable Cities and …, 2023 - Elsevier
There is currently a lack of studies on residential waste collection during COVID-19 in North
America. SARIMA models were developed to predict residential waste collection rates …

[HTML][HTML] Smart waste management: A paradigm shift enabled by artificial intelligence

DB Olawade, O Fapohunda, OZ Wada… - Waste Management …, 2024 - Elsevier
Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

Machine-learning approaches in geo-environmental engineering: Exploring smart solid waste management

A Lakhouit, M Shaban, A Alatawi, SYH Abbas… - Journal of …, 2023 - Elsevier
Over the past few decades, increased attention has been paid to domestic waste (DW)
generation. DW comprises a large percentage of municipal solid waste (MSW), and its …

Predicting opinion using deep learning: From burning to sustainable management of organic waste in Indian State of Punjab

A Singh, R Tiwari, PS Nagra, P Panda… - Waste Management …, 2024 - journals.sagepub.com
In winter season, the burning of crop residues for ease of sowing the next crop, along with
industrial emissions and vehicular pollution leads to settling of a thick layer of smog in …

Prediction of rainy-day photovoltaic power generation based on Generative Adversarial Networks and enhanced Sparrow Search Algorithm

L Wencheng, M Zhizhong - Computers and Electrical Engineering, 2024 - Elsevier
Accurate and timely photovoltaic (PV) power forecasting is crucial for the stable operation of
power systems. To address the issue of sparse PV power data on rainy days, this paper …

Comparative analysis of deep learning and classical time series methods to forecast natural gas demand during COVID-19 pandemic

Z Ceylan - Energy Sources, Part B: Economics, Planning, and …, 2023 - Taylor & Francis
The lockdown measures implemented to contain the COVID-19 pandemic have had a
considerable effect on the consumption of natural gas, which is closely linked to the …

Evaluation of municipal solid waste characterization and landfill gas power plant electrical energy production efficiency during COVID-19 pandemic

B Alboğa, M Nil, MRA Bhuiyan, H Mamur - … Energy Technologies and …, 2024 - Elsevier
Due to the COVID-19 pandemic, the amount and types of municipal solid waste (MSW) have
dramatically changed. This study focuses on characterizing the MSWs in the regular waste …