Results 101 to 110 of about 5,693,469 (294)

Dynamic evaluation and realization mechanisms of multi-dimensional benefits for microgrids in new-type power systems

Frontiers in Energy Research
Amid high renewable penetration, market reform, and dual-carbon goals, microgrids are expected to deliver economic, environmental, and technical value, yet much work remains static or single-dimensional and lacks a closed loop from evaluation to fair ...
Zhengdong Wan, Jinsong Zhang, Yan Huang
doaj   +1 more source

Research on Competition Strategy of Integrated Energy Service Provider under the Pool-based Market Mechanism

Zhongguo dianli, 2019
With the strengthening of multi-energy coupling and the advancement of energy reform, the integrated energy market has been gradually established, and severe energy price fluctuations in the integrated energy spot market have brought great risks to ...
Zuogang GUO, Lei YU, Yang HU, Changcheng ZHOU, Jinyong LEI, Shuai HE, Nian LIU   +6 more
doaj   +1 more source

A study on the factors influencing the utilization of public health services by China's migrant population based on the Shapley value method. [PDF]

BMC Public Health, 2023
Suo Z, Shao L, Lang Y.
europepmc   +1 more source

The expected Shapley value

, 2003
A method to allocate the benefits to the players of a cooperative game is the Shapley value. Its computation demands the knowledge of all coaltion worths with certainty. This paper introduces the expected Shapley value, an extension of the Shapley to games were not all the worths are known with certainty.
openaire   +2 more sources

An Equivalent Formulation for the Shapley Value

, 2018
The final authenticated version is available online at: https://doi.org/10.1007/978-3-662-58464-4_1.
openaire   +3 more sources

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

A Blockchain-Based E-Participation Framework Utilizing Zero-Knowledge Proofs With Guaranteed Sampling and Differential Reward Mechanisms

IEEE Access
Blockchain-based E-participation systems significantly enhance transparency, data integrity, and security compared to traditional E-participation methods.
Jungwon Seo, Juhui Lee, Yunjae Joo, Kangho Lee, Vijayan Sugumaran, Sooyong Park   +5 more
doaj   +1 more source

EdgeSHAPer: Bond-centric Shapley value-based explanation method for graph neural networks. [PDF]

iScience, 2022
Mastropietro A, Pasculli G, Feldmann C, Rodríguez-Pérez R, Bajorath J.   +4 more
europepmc   +1 more source

Allocation of fixed costs: characterization of the (dual) weighted Shapley value. [PDF]

The weighted value was introduced by Shapley in 1953 as an asymmetric version of his value. Since then several axiomatizations have been proposed including one by Shapley in 1981 specifically addressed to cost allocation, a context in which weights ...
Pierre Dehez
core  

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source