Devdiscourse

AI-Driven Hybrid Models Forecast China’s Energy and Fuel Use for a Greener Future

The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...
GitHub

Professional AI Prompt Optimization, Debugging, and Sharing Platform

The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates ...
C&EN

Advances in AI-Driven Biomass Processing: A Review of Conversion Technologies, Optimization Strategies, and Smart Energy Integration

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. AI impacts the increasing of maximum yields and shrinking ...
IEEE

Hybrid Energy Management Optimization Combining Offline and Online Reinforcement Learning for Connected Hybrid Electric Buses

Abstract: Energy management is crucial to guarantee the long-term fuel economy for hybrid electric systems. This article proposed a novel energy management strategy (EMS) for a hybrid electric bus ...
IEEE

A Two-Stage Robust Scheduling Optimization of an Energy Hub With Multiple Chance Constraints

Abstract: An energy hub (EH) can abstract a multi-energy system into multiple input-output ports and is often employed to characterize the coupling relationship between different energy sources.
C&EN

Development and Optimization of a Scalable Enzymatic Cascade-Carbamate Formation Telescope Process for the Synthesis of CDK2 Selective Candidate Tegtociclib (PF-07104091)

Pfizer Chemical Research and Development, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States ...