Results 111 to 120 of about 6,516,300 (304)

Accelerating the Development of Organic Solar Cells: A Standardized Protocol with Machine Learning Integration

Advanced Energy Materials, EarlyView.
This publication introduces a streamlined method for evaluating new organic solar cell materials, focusing on layer thickness and efficiency optimization—enhanced by machine‐learning‐driven UV–vis spectral deconvolution. It outlines a degradation testing protocol, emphasizing half‐cell vs. full‐cell comparisons and environmental stress factors. Finally,
Jonas Wortmann, Larry Luer, Chao Liu, Jerrit Wagner, Tobias Osterrieder, Simon Arnold, Jens Hauch, Thomas Heumüller, Christoph J. Brabec   +8 more
wiley   +1 more source

An artificial market model for the forex market

Humanities & Social Sciences Communications
As financial markets have transitioned toward electronic trading, there has been a corresponding increase in the number of algorithmic strategies and degree of transaction frequency. This move to high-frequency trading at the millisecond level, propelled
Kimihiko Sasaki, Daisuke Yokouchi
doaj   +1 more source

APPLICATIONS OF AI FOR ENTERPRISE PROFIT ANALYSIS

Економіка та суспільство
Artificial intelligence (AI) has become a key driver of analytical transformation in modern enterprises, redefining the way organizations collect, process, and interpret financial information. AI tools such as machine learning, deep neural networks, and
Валерій Роздобудько, Аліна Миронова   +1 more
doaj   +1 more source

Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang, Yan Wang, Yanqiu Lyu, Jianfeng Mao, Zaiping Guo   +4 more
wiley   +1 more source

Mapping the role of Artificial Intelligence in real estate: A bibliometric and case study analysis [PDF]

Journal of Entrepreneurship, Management and Innovation
PURPOSE: Accurately forecasting real estate prices presents a significant challenge due to the complex interplay of economic, social, and spatial variables.
Alejandro Segura de la Cal, Antonio Martínez Raya, Gustavo Morales-Alonso   +2 more
doaj   +1 more source

AI pricing algorithms under platform competition

Electronic Commerce Research
Platforms play an essential role in the modern economy. At the same time, due to advances in artificial intelligence (AI), algorithms are becoming more widely used for pricing and other business functions. Previous literature examined algorithmic pricing,
J. Sánchez-Cartas, Evangelos Katsamakas
semanticscholar   +1 more source

Beyond the Ban—Shedding Light on Smallholders' Price Vulnerability in Indonesia's Palm Oil Industry

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Indonesian government imposed a palm oil export ban in April 2022 to address rising cooking oil prices. This study explores oil palm smallholders' vulnerability to the policy using descriptive statistics, Lasso, and post‐Lasso OLS regressions.
Charlotte‐Elena Reich, Tim Ölkers, Vanessa Bonke, Oliver Musshoff   +3 more
wiley   +1 more source

Economic Viability of Photovoltaic Systems Providing Frequency Containment Reserve

Advanced Energy and Sustainability Research, EarlyView.
This article investigates the feasibility of photovoltaic (PV) systems providing frequency containment reserve (FCR) in the Netherlands. The economic analysis demonstrates that a PV plant can profitably participate in FCR without battery storage by maintaining an active power reserve.
Emil Petkovski, Mari S. Bogen, Theo Bosma, Marcel Eijgelaar   +3 more
wiley   +1 more source

Formation of the model for the commercialization of the company's digital intellectual assets

Модернизация, инновация, развитие
Purpose: of the study is algorithmic modeling of the commercialization of digital intellectual assets (CIAS), taking into account pricing factors, risk and the level of commercial potential, based on the identifi cation of CIAS and determination of their
O. V. Loseva
doaj   +1 more source

Probabilistic Modeling for Prediction Errors to Enhance Balancing Market Participation of Photovoltaic Systems: Error Threshold Estimation, Multisite Aggregation, and Overloading Effects

Advanced Energy and Sustainability Research, EarlyView.
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui, Xue Fang, Takashi Oozeki, Yuzuru Ueda   +3 more
wiley   +1 more source