Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...

A global research team led by scientists from China’s Tianjin Renai College has developed a novel stochastic optimization technique for enhanced dispatching and operational efficiency in PV-powered ...

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...

Under energy structure transformation and multi-energy complementary development, there is an urgent need to explore more efficient, clean and low-carbon integrated energy utilization. The ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

Abstract: The day-ahead energy market has enabled full competition in the electricity market and efficient optimization of power resources, revealing the price signals from both the supply and demand ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

1 State Grid Anhui Electric Power Co., Ltd., Hefei, China 2 School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China Since renewable energy generation has strong ...

Abstract: This paper proposes an optimization model for clean energy planning in farming that takes uncertain future projections into account. A stochastic optimization model is applied to determine ...