Dingwei Wang
YOU?
Author Swipe
View article: Learning to Mitigate Post-Outage Load Surges: A Data-Driven Framework for Electrifying and Decarbonizing Grids
Learning to Mitigate Post-Outage Load Surges: A Data-Driven Framework for Electrifying and Decarbonizing Grids Open
Electrification and decarbonization are transforming power system demand and recovery dynamics, yet their implications for post-outage load surges remain poorly understood. Here we analyze a metropolitan-scale heterogeneous dataset for Ind…
View article: A New Paradigm of the "Dual-Interface-Performance" Linkage Mechanism Through Molecular Synergistic Modification
A New Paradigm of the "Dual-Interface-Performance" Linkage Mechanism Through Molecular Synergistic Modification Open
View article: Dynamic Multivariate State Estimation Early Fault Diagnosis Method for Multi-Mode Nonstationary Industrial Process Based on Multi-Domain Transfer Collaboration Learning
Dynamic Multivariate State Estimation Early Fault Diagnosis Method for Multi-Mode Nonstationary Industrial Process Based on Multi-Domain Transfer Collaboration Learning Open
View article: The P21-Activated Kinase 1 and 2 As Potential Therapeutic Targets for the Management of Cardiovascular Disease
The P21-Activated Kinase 1 and 2 As Potential Therapeutic Targets for the Management of Cardiovascular Disease Open
Review The P21-Activated Kinase 1 and 2 As Potential Therapeutic Targets for the Management of Cardiovascular Disease Honglin Xu, Dingwei Wang, Chiara Ramponi, Xin Wang, and Hongyuan Zhang * Michael Smith building, Division of Cardiovascul…
View article: Recovery measures and field management strategies after hailstone damage in upland cotton
Recovery measures and field management strategies after hailstone damage in upland cotton Open
Background Hailstorm might damage cotton plants severely and cause heavy economic loss in field production. It hailed vehemently three times in 2015 and 2016 in Yellow River Basin Cotton Region and damaged cotton seedling and buds. The api…
View article: Evolutionary algorithms in dynamic environments
Evolutionary algorithms in dynamic environments Open
Evolutionary algorithms(EAs) are widely and often used for solving stationary optimization problems where the fitness landscape or objective function does not change during the course of computation.However,the environments of real world o…
View article: An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions
An Evolutionary Game Study of the Behavioral Management of Bid Evaluations in Reserve Auctions Open
Winner determination in current auctions is often performed separately by two groups: the technical expert group and the business expert group. In general, there is a strong negative correlation between technical and business attributes, a…
View article: Simulation-Based Optimization on Control Strategies of Three-Echelon Inventory in Hybrid Supply Chain With Order Uncertainty
Simulation-Based Optimization on Control Strategies of Three-Echelon Inventory in Hybrid Supply Chain With Order Uncertainty Open
Multi-echelon inventory control is the main form of the management of supply chain inventory, and it has been paid extensive attention by scholars because of its importance in supply chain management. Process industries, represented by met…
View article: Multi-attribute Reverse Auction Design Based on Fuzzy Data Envelopment Analysis Approach
Multi-attribute Reverse Auction Design Based on Fuzzy Data Envelopment Analysis Approach Open
Multi-attribute reverse auction is widely used for the procurements of enterprises or governments.To overcome the difficulty of identifying bidding attribute weight and score function of the buyer, the multi-round auction and bidding model…