This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 221–240 of 4132 papers
M Pattanaik, Jitendra Mahakud
This study examines the impact of board gender diversity (BGD) on renewable energy consumption using firm-level data from 18 G20 countries (2010-2022). Findings show BGD positively influences renewable energy consumption, with stronger effe…
Maren Ludwig, Stephen Jarvis
Using appliance ownership and hourly electricity demand data across many countries, this study estimates temperature effects on electricity demand globally. Combining with climate and development projections, it shows that air conditioning …
Olga Janikowska, Agnieszka Generowicz, Joanna Kulczycka
This paper conceptualizes cascading lock-ins in post-mining regions' energy transition, identifying how infrastructural, technological, institutional, and social constraints interact and reinforce each other across domains. Through literatu…
Heather Sutherland, Kevin Kim, Molly Ramsay +1
This study conducts a cradle-to-grave LCA comparing the Ford Transit ICEV and EV for UBC's campus fleet, using OpenLCA and Ecoinvent. Under low-carbon grid and short-distance driving, EVs reduce GHG emissions but increase other environmenta…
Gordon C. Rausser, Wadim Striełkowski, Lukáš Prokop
This paper proposes a reproducible framework for assessing Positive Energy Districts (PEDs), combining bibliometric and NLP analysis with a PyPSA-compatible linear capacity-expansion and dispatch model and a corrected cost-benefit analysis.…
Sara Ghaboulian Zare, Frédéric Babonneau, Olivier Bahn +4
This paper extends the ETEM model to assess hydrogen integration in metropolitan energy systems, applying it to Montréal. Under full carbon neutrality, hydrogen reaches ~7% of final energy by 2050, with production exceeding 33 PJ, but uptak…
Daichen Guo, Sanglin Zhao
This study empirically examines the impact of corporate digital transformation (DX) on carbon emissions and the mediating role of ESG performance, using Chinese A-share listed companies from 2010 to 2023. DX reduces carbon emissions by impr…
Hughes, Hunter
Frames the clean energy transition as an institutional crisis of state capacity, arguing for a modernized Developmental State with coordinated planning, strategic finance, and industrial discipline. Offers a 12-chapter architecture and a 20…
MOUSSAFIR Hasna
This paper proposes a unified conceptual framework to model how the CSRD and ESRS reshape corporate disclosure through double materiality. Integrating signaling, agency, legitimacy, and stakeholder theories, it argues that structural conver…
Frederik, Fristed
This dataset supports a study analyzing the roles of renewable fuels and CCS in net-zero transport and energy systems. It provides input data and results for 37 scenarios using the Balmorel energy system model. Open-source model and data en…
Sikder, Pranta
GETP v1.0 is a harmonized database of realized ascent and descent rates for electricity technologies across 214 countries (1985-2025). It applies a symmetric diagnostic engine to both expanding and contracting trajectories, enabling compari…
Sikder, Pranta
An open panel of marginal emission factors for electricity across 203 economies (1999-2025), enabling accurate assessment of emissions from additional electricity demand (EVs, heat pumps, data centers). It provides average, operating margin…
Yuanyuan Ma, Siyu Peng, Yun Yu
This study develops a hybrid forecasting framework integrating CEEMDAN, sample entropy reconstruction, and coefficient of variation ensemble to capture multi-scale nonlinear carbon price dynamics. SHAP and TVP-SV-VAR reveal scale-specific a…
Sheng Zhao, Jingran Zhang, Jinyang Lu +6
This study compares four routes for green methanol production from biomass and renewable power, revealing trade-offs in carbon use, energy efficiency, emissions, and cost. Hydrogen-integrated gasification achieves 92% carbon utilization and…
Bowen Tian, Pei Zhao, Min Liu +11
This study analyzes the interaction between V2G and time-of-use pricing using a unit commitment model of the 2030 Jing-Jin-Tang grid with Bayesian optimization. It finds that current static tariffs incentivize EV discharge during midday sol…
Ma, Minghui, Valdiserri, Paolo, Ballerini, Vincenzo +2
This study proposes a deep learning framework to predict building heat load for a single apartment in Bologna using previous 24h data. Optuna optimizes hyperparameters for LSTM, TCN, MLP, XGBoost, and LR; LSTM performs best. Physics-constra…
Luh, Sandro (author), Kannan, Ramachandran (author), McKenna, Russell (author) +2
This study extends the Swiss TIMES energy system model with heterogeneous consumer segments and charging infrastructure (CI) options to analyze BEV adoption and net-zero implications. Results show BEV share reaches 39-77% by 2050, requiring…
Luh, Sandro (author), Kannan, Ramachandran (author), McKenna, Russell (author) +2
This study integrates travel time duration and valuation into the Swiss TIMES Energy System Model (STEM) to quantify modal shifts in passenger transport. Results show that speed changes on medium and long trips (e.g., highway speed limits, …
Liu H.
This paper empirically analyzes how regulatory environments influence green bond issuance among active OECD issuers, suggesting that stronger policy frameworks may boost issuance volumes and market participation.
Sohail M.
This paper empirically examines how AI adoption affects ESG performance in the German banking sector, focusing on the mediating role of green finance. It suggests that AI can enhance banks' ESG assessments and promote green lending.
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