Results 131 to 140 of about 106,193 (320)

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

open access: yesEnergy Science &Engineering, EarlyView.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso   +5 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

Zero-sum stochastic differential games of impulse versus continuous control by FBSDEs [PDF]

open access: yesJournal of Mathematical Analysis and Applications, 2021
M. Perninge
semanticscholar   +1 more source

On infinite dimensional stochastic differential games

open access: yes, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang   +3 more
wiley   +1 more source

Material ESG Performance and Bid Premium in Merger and Acquisition Deals

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines the firm‐level and country‐level environmental, social, and governance (ESG) performance on bid premiums in cross‐border mergers and acquisitions (M&A) transactions. We document considerable variations in bid premiums. Higher carbon emissions are associated with higher bid premiums, suggesting that acquirers may perceive ...
Ndubuisi Ezenwa   +2 more
wiley   +1 more source

Interplay Between Green Investment and Market Price Premia in Global Shipping

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT Existing research emphasises that the driver of green investment is its future profitability. This paper shows that other investors' decisions also influence green investment. We take the example of scrubber installation in shipping, which is optional by regulation but has an established market for trading its underlying asset.
Yao Shi   +4 more
wiley   +1 more source

Beyond the Metrics: Context‐Aware Calibration for Better Drain Flow Modelling

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Robust hydrological and water quality modelling is essential for advancing the understanding and management of engineered agricultural subsurface drainage systems. Achieving credible model output hinges on calibration strategies that are both rigorous and context sensitive. At the field scale, accurately capturing the dynamics of nutrient load
R. Caleb Bruhn   +3 more
wiley   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

open access: yesMacromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

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