Results 61 to 70 of about 2,837,221 (362)

How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 1: A Paradigmatic Theory [PDF]

arXiv, 2023
In face of the pressing need of decarbonization in the power sector, the re-design of electricity market is necessary as a Marco-level approach to accommodate the high penetration of renewable generations, and to achieve power system operation security, economic efficiency, and environmental friendliness.
arxiv  

Trade, Renewable Energy, and Market Power in Power Markets

, 2023
Energy markets are undergoing a radical shift towards renewable energy and network integration. We study the effects of integrating regions with storable (hydro) and intermittent (wind) energy sources in the presence of Market power. Based on a two-period model with price fluctuations in the wind power region and bottlenecks in transmission of energy ...
Brekke, Kurt R., Straume, Odd Rune, Sørgard, Lars   +2 more
openaire   +2 more sources

Placebo Effect Sizes in Clinical Trials of Knee Osteoarthritis Using Intra‐Articular Injections of Biologic Agents

Arthritis Care &Research, EarlyView.
Objective Patients with knee osteoarthritis rely on symptomatic treatments, in which up to 75% of the pain reduction can be attributed to the placebo effect. This effect may vary based on treatment type (eg, biologics vs nonbiologic injection) and route of administration (eg, intra‐articular vs topical vs oral).
Johanna M. Borst, Severin Ruoss, Ian Palmer, Trevor Smith, Kenneth Kalunian, Samuel R. Ward   +5 more
wiley   +1 more source

A Low-Carbon Interactive Management Strategy for Community Integrated Energy System Based on Real-Time Carbon Intensity Assessment

Shanghai Jiaotong Daxue xuebao
With increasing energy consumption on the demand side, residential energy use has become a significant source of carbon emissions, which presents a substantial opportunity for emission reduction. This paper focuses on the low-carbon economic operation of
GAO Bo, LI Fei, SHI Lun, TAO Peng, SHI Zhengang, ZHANG Chao, PENG Jie, ZHAO Yiyi
doaj   +1 more source

Bilateral oligopoly : countervailing market power [PDF]

, 2015
Malta’s economy, minute by any standard, makes for imperfectly competitive market structures. The degree of this competition is quite interesting since many firms, in the wholesale, retail, as well as in other sectors, tend to form part of oligopolistic
Brincat, Andrew
core  

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

Advanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi, Anjali Kumari, Samaneh Ghadami, Saqer Al Abdullah, Kristen Dellinger   +4 more
wiley   +1 more source

Load-Aware Operation Strategy for Wind Turbines Participating in the Joint Day-Ahead Energy and Reserve Market

IEEE Access
Wind power has emerged as a clean alternative to traditional power production, with a significant increase in its installed capacity observed over the past decade.
Narender Singh, Seyyed Ahmad Hosseini, Jeroen D. M. de Kooning, Francois Vallee, Lieven Vandevelde   +4 more
doaj   +1 more source

Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning [PDF]

arXiv, 2023
Energy market rules should incentivize market participants to behave in a market and grid conform way. However, they can also provide incentives for undesired and unexpected strategies if the market design is flawed. Multi-agent Reinforcement learning (MARL) is a promising new approach to predicting the expected profit-maximizing behavior of energy ...
arxiv  

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Equilibria in Network Constrained Energy Markets [PDF]

arXiv, 2022
We study an energy market composed of producers who compete to supply energy to different markets and want to maximize their profits. The energy market is modeled by a graph representing a constrained power network where nodes represent the markets and links are the physical lines with a finite capacity connecting them.
arxiv