GX & Decarbonization Research

Umesh Ganesh Iyer, Sukhpal Singh Gill

This paper explores how AI-driven cloud resource management can contribute to net-zero carbon emission goals. It proposes methods to optimize energy consumption and reduce carbon emissions through AI, enhancing sustainability of cloud data …

Sunday Idowu

An IoT platform using ESP32 and PZEM-004T sensors monitors household electricity usage and CO2 emissions in real time. Tested with 100W incandescent and LED bulbs, it achieved <3% error and <2s response time. CO2 is calculated using an emis…

I. P. Okwuosa, O. J. Odejobi

This study optimizes biogas steam reforming for low-carbon hydrogen production using ANN integrated with GA. The ANN was trained on Aspen HYSYS simulation data, and GA optimized operating conditions to achieve a hydrogen mole fraction of 0.…

E. P. Egbe, E. O. Diemuodeke, E. G. Udonkwo +1

This paper develops a data-driven GHG accounting software for Nigeria's oil and gas sector, automating Scope 1 and 2 emissions estimation based on the API Compendium. It addresses manual, fragmented practices by integrating operational and …

Kashaf

This review outlines smart plantation as a nature-based solution integrating strategic vegetation placement with digital technologies (AI, sensors, remote sensing) to reduce air pollutants, store carbon, and improve urban microclimates. It …

Natalia Fabra, Clément Leblanc, Mateus Souza

This study quantifies the distributional impacts of the Iberian solution, a wholesale electricity market intervention in Spain and Portugal during the 2021-2023 European energy crisis, using machine learning and market simulations. The cris…

Futi Liu, Zian Zhao

This paper addresses ESG-aware portfolio optimization under decision-dependent return uncertainty. It constructs a joint polyhedral uncertainty set and formulates a two-stage robust optimization with CVaR constraints, solved via column-and-…

Idham Idham, Chusnul Rofiah

This study examines how cyber-auditing and the conceptual foundation of digital assurance redefine auditors' roles in multinational firms. Using a systematic literature review, it finds that integrating AI and data analytics into audit prac…

Yingwen Guo, Miao He, Weiyin Zhang

This study examines the impact of geographic proximity to cancer villages on firm valuation using Chinese listed firms from 2004 to 2022. A one-standard-deviation increase in proximity reduces Tobin's Q by about 1.7%, driven by higher compl…

S. Amoo, Ali Attajer, Ismahen Zaid +1

This study develops an optimization framework for sustainable AAC production using discrete-event simulation and machine-learning surrogates. It generates 116,640 production scenarios and trains ML models to predict CO2e emissions, cost, an…

K. Sonawane, P. Saini, U. Biradar +3

This paper proposes an AI-driven integrated digital framework for CCUS to enhance containment assurance and carbon credit credibility. It integrates multi-modal data (DAS/DTS, microseismic, satellite) and uses anomaly detection, Bayesian in…

Yilin Wang, Xujing Dai, Xueyan Li

This study examines whether China's Green Finance Reform and Innovation Pilot Zones (GFRIZ) policy improved urban supply chain resilience, using panel data for 285 cities from 2012-2024 and a partially linear Double Machine Learning approac…

Nehad Gaši, Kemal Spahić, Bekir Fulan

This paper applies AI to optimize smart intersections powered by renewable energy, using machine learning on traffic, energy, and weather data for dynamic signal control. It reduces congestion, improves safety, and cuts CO₂ emissions, contr…

Jian Xu, Jie Song, Yifan Yan +3

This study constructs an energy production revolution index (EIT) for the Yellow River Basin and uses stacking ensemble and Lasso-STIRPAT models to project carbon emissions and EIT from 2025-2045. Scenario analysis reveals optimal pathways …

Xiao Zhang, Zhaoqiao Ding

This paper proposes a smart cold chain system integrating IoT sensors and machine learning to enable dynamic monitoring and evaluation of full-chain carbon footprint. Real-time data collection and predictive models optimize energy consumpti…

Shaohuai Feng

This repository provides supplementary data for the manuscript on the SCOPE framework, a reproducibility-driven variable screening method for carbon price forecasting. It includes raw and processed data, additional analyses, supplementary f…

H. T. Dinh, Hà Thị Thu Bùi, H. Nguyen +3

Using survey data from 853 hotel employees in Vietnam, this study employs PLS-SEM to examine how AI and CSR influence employee green behavior (EGB), green finance (GF), and green performance (GP). Findings show AI positively impacts GF and …

Mohamed Vajeebu Mohamed Hussain Pareeth

This review proposes an AI-driven optimization framework for green hydrogen production networks in Saudi industrial cities (NEOM, Yanbu, Jubail, etc.). It integrates machine learning, digital twins, stochastic optimization, and explainable …

Sanjana Kewalramani, Sharvari Nimje, Tanishq Rajpuria +2

This review systematically organizes research applying AI/ML to Kubernetes scheduling for improving energy efficiency and reducing carbon emissions. It shows that ML-based workload placement optimization can effectively reduce data center e…

T. Sindhu, Dr. K. Sivakumar, Dr. D. Jayanthi +2

This review examines geospatial technologies (GIS, remote sensing, UAV, LiDAR) combined with machine learning for carbon stock estimation in mango orchards. Integration of satellite imagery and ML models (Random Forest, SVM, ANN) improves p…