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 561–580 of 1701 papers
Jingwei Chen, Dongwei Zhao, Zhi Zhou +1
This paper proposes a unified decision framework for selecting optimal Power Purchase Agreement (PPA) structures—Fixed-Volume, As-Generated, or As-Consumed—to minimize financial risk for both sellers and buyers. Using theoretical analysis a…
Reo Kontani, Kenji Tanaka, K. Ogimoto
This empirical study analyzes strike prices for virtual power purchase agreements (VPPAs) in Japan based on power demand and supply analysis. It provides insights into pricing mechanisms and market conditions for corporate renewable energy …
J. Kean, A. O'Sullivan
European TSOs need accurate day-ahead wind forecasts for bidding zones. This study trains a deep neural network on 1.57 million hourly observations from 36 European BZs using ENTSO-E and Open-Meteo data, outperforming state-of-the-art TSO f…
Nan Jiang, Zeyuan Liu, Zhu Li +4
This paper proposes a power spot market clearing model that relaxes price limits while constraining the average grid price, addressing the failure of narrow price limits under high renewable penetration. Using IEEE 30-bus system and data fr…
Haoyang Fan, Qi Huang, Zhenyuan Zhang +4
This study proposes tunnel transmission for renewable energy in mountainous regions, finding gas-insulated lines cost-effective where environmental costs are high. Multi-physics analysis and lifecycle cost assessment show optimized conducto…
Natanon Tongamrak, Kannapha Amaruchkul, W. Wangdee +1
This paper proposes a two-stage stochastic optimization model for 24/7 carbon-free energy (CFE) operations, minimizing cost while meeting CFE compliance. Using deep learning forecasts for load and solar generation, the model optimizes batte…
J L Xu, Tao Lv, Xiaoran Hou +5
This paper optimizes regional renewable energy layouts in China by balancing system costs and energy justice. It proposes a framework to achieve cost-effective renewable deployment while mitigating regional inequities, contributing to a jus…
Alessandra Montanelli
This paper examines the transition of Renewable Energy Communities (RECs) in Europe's outermost regions from policy experiments to investment realities, highlighting the need for investment, governance, and technical assistance to scale the…
Thanh Phuc Nguyen, Trang Thi-Thuy Duong
This study examines nonlinear relationships among economic growth, AI investment, renewable energy, and environmental degradation in ASEAN-5, using FDI as a threshold variable. A Panel Smooth Transition Regression (PSTR) model finds that un…
A Belda, Andrea Gabaldón, Vincenzo Santovito +2
This paper presents a regulation-aware planning tool for Renewable Energy Communities (RECs) based on an integrated MILP optimization framework that embeds electricity settlement and compensation rules. Applied to a real case in Spain, it s…
Watchara Pattanawiwattanaporn, Choopong Thongkumsamut
This study assesses solar PV deployment as a flagship Scope 2 measure for Khon Kaen University's carbon neutrality target by 2040. Using 8,760-hour load data, spatial analysis, and hourly PV simulation, it evaluates self-consumption, self-s…
Nupur Mittal, ImranUllah Khan, Zohaib Hasan Khan +2
This chapter reviews the role of AI in renewable energy systems (solar, wind, hydro, bioenergy). It highlights how AI and ML optimize generation and distribution through predictive analytics, improve energy storage, and enhance efficiency. …
Juan Luis Santos
Develops a dynamic agent-based model for 34 European countries (2015-2024) to decompose renewable electricity expansion into domestic proactivity, international reactivity, and country-specific leadership. Finds that leadership is technolog…
Laith M. Alomari, John C Tyndall, Suzanne M. Slack +1
This paper explores the potential of integrating strawberry cultivation into utility-scale solar farms (agrivoltaics) to overcome the global production plateau. It addresses two major constraints: limited farmland and increasing climate str…
Mathias O. Ananti, C M Nwosu
This study examines the role of renewable energy adoption in mitigating climate change and promoting sustainable development in Nigeria, using content analysis of secondary data (2018–2024). Findings show that renewable energy reduces emiss…
太陽光発電における設備利用率の地域差と将来電力価格の変動を考慮したオンサイト自家消費型PPAの事業性評価
(著者不明)
This study analyzes the business feasibility of on-site self-consumption solar PPA under regional differences in capacity factors and future electricity price scenarios in Japan. It estimates payback periods and IRR, clarifying conditions f…
垂直軸風車の流れ解析(2)
(著者不明)
Technical report on flow analysis of a vertical axis wind turbine, part 2, examining fluid dynamics characteristics.
風力発電の運用・修繕における環境負荷の見積もり
(著者不明)
This paper proposes a method to quantitatively estimate the environmental load during the operation and maintenance (O&M) phase of wind power generation. From a life cycle assessment perspective, it evaluates CO2 emissions and resource cons…
再生可能エネルギー固定価格買取制度の下での木質バイオマス利用の経験に基づく今後への示唆
(著者不明)
This paper reviews Japan's experience with woody biomass power generation under the feed-in tariff (FIT) system and draws lessons for future renewable energy policy. It potentially focuses on fuel sustainability and cost challenges.
I-03 FIT 制度下での木質バイオマス発電 ―九州地方を中心として―
(著者不明)
This paper examines woody biomass power generation under Japan's Feed-in Tariff system, focusing on the Kyushu region. It analyzes policy effects and operational realities at the regional level, highlighting challenges in renewable energy p…
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