GX & Decarbonization Research

Islam MS, Sarkar J

Eco-ITAD is an on-premise system that diagnoses hardware health using S.M.A.R.T. telemetry and computes avoided Scope 3 emissions using DEFRA factors. It generates compliance certificates in volatile memory, eliminating persistent writes. E…

Surathunmanun, Surasak, Ongsakul, Weerakorn, Singh, Jai Govind +1

This paper proposes a novel framework (CTT–ViT–Transformer) integrating satellite cloud top temperature imagery with Vision Transformer and Transformer models for short-term solar PV forecasting in sensor-constrained microgrids. Evaluated o…

Huilu Jiang, He-Liang Zhu, Zichen Xu +1

This paper examines the impact of China's green factory certification on corporate digital-green collaborative transformation using panel data of A-share listed firms from 2012-2022 and a multi-period DID model. Certification significantly …

Stephen Oko Gyan Torto, Rupendra Kumar Pachauri, Jai Govind Singh +4

This review systematically classifies transactive energy management (TEM) in multi-vector multi-agent energy systems, analyzing market topology, agent interaction, game-theoretic models, and deployment challenges. It introduces TE-RM, a hyb…

Farinu Uthman, Philip Edward, Adekola Priscilla

This study develops a hybrid AI model integrating random forest, LSTM, and gradient boosting to forecast carbon sequestration and financial returns of afforestation projects. Using satellite, soil, carbon price, climate, and cost data, it g…

Arpit Darbari

Proposes a Unified Digital ESG Framework (UDEF) for manufacturing that integrates CSRD/ESRS compliance, GHG Protocol-based accounting, and SDG alignment. Leverages smart metering, IIoT, cloud EMS, and AI-assisted decision support for contin…

Hermanus, Davy Ronald

This study proposes an AI-driven situational awareness architecture for citywide energy governance, integrating digital twins and multi-drone verification. Simulations show reduced false anomaly confirmations from 16% to 6%, improved Situat…

He Jiang, Rongyu Cao

This paper proposes an explainable time-varying feature selection method for predicting EU ETS carbon prices. It uses AI/ML to dynamically identify key drivers, balancing predictive accuracy with interpretability. Empirical analysis on EU E…

Chao He, Yunjie Su, Sirui Zhang +2

This review systematically examines the use of large language models (LLMs) in low-carbon smart energy systems, focusing on cloud-edge power IoT. It analyzes five technical themes: task offloading, dynamic edge resource allocation, low-late…

Archie Nathanael Mulyawan, Nataniella Eva Kezia, Verena Jesslyn Utama +1

This qualitative study examines how accountants, as ESG analysts and strategic leaders, enhance sustainability report transparency using the Susteineri system integrating IoT and AI. Real-time data collection enables monitoring of carbon em…

Pothin F

Using staggered difference-in-differences on SBTi and CDP data (2015-2023), this study finds that pledging firms expand their measurement boundary: within four years they report 2.5 more Scope 3 categories, lifting reported Scope 3 emission…

J. Taborda, Cesar Enrique Polo Castro, Alexander Armando Bustamante +1

This paper proposes a cybernetic governance framework integrating blockchain, IoT, and LCA for trustworthy monitoring of renewable energy impacts. Implemented in Colombia's wind and solar projects, it achieved high performance and participa…

Fnu Aishwariya Kannan R. Uma, Nandini Jagannarayan

This review examines the latest literature on Green FinTech from an economic perspective. It discusses how digital technologies such as AI, blockchain, and big data contribute to environmental risk assessment, carbon market transparency, an…

Yu Hu, Xiaofang Chen, Xin Chen +1

This paper empirically analyzes the impact of digital transformation (DX) on corporate carbon emission reduction using panel data from Chinese A-share listed industrial enterprises from 2010-2021. It finds that production efficiency improve…

Sabeeh Ullah, Md. Shabbir Alam

This study empirically examines the interrelationship among FinTech, institutional quality, and sustainable finance (SFI) in G20 economies using panel data from 2004-2023. FinTech enhances SFI, but its impact is moderated by institutional q…

Gikonyo Ndugu

This paper develops and demonstrates a forensic assurance algorithm to verify transaction-level evidence for IFRS S1/S2 disclosures. It proposes an adjusted Herfindahl-Hirschman Index with a gender-parity baseline and a five-tier Data Quali…

Abed Saif Ahmed Alghawli, Ali Raza, Suzan Hassan Bakhit +2

This study proposes a Q-learning-based routing and fault-recovery framework for CCS monitoring WSNs, integrating energy awareness. Evaluated on a 50-node HIL testbed, it reduced latency by 53.6%, improved recovery time by 65.9%, achieved 99…

Man Luo, Yixuan Zhao

Bike-sharing is key for low-carbon urban mobility, but expansion faces cold-start prediction and equitable allocation challenges. FairGIN, a fairness-aware GNN, integrates expansion-simulated training, attention-based knowledge transfer, an…

Ren-Jie Wu, Hesong Jin, Boyang Liu +6

This paper proposes a generative AI approach to automate the mix design of low-carbon, high-ductility engineered cementitious composites (ECC). The AI optimizes material performance and carbon emissions, contributing to decarbonization in c…

Yuxuan Wu, Qianqian Wang, Qihan Zhang +6

This study develops a data-driven framework for sustainable design of rare-earth permanent magnets, using 346 experimental samples and MLP models to predict magnetic properties with high accuracy. SHAP analysis identifies Nd as key, and mul…