Results 61 to 70 of about 170,012 (273)

A Q-Cube Framework of Reinforcement Learning Algorithm for Continuous Double Auction among Microgrids

open access: yesEnergies, 2019
Decision-making of microgrids in the condition of a dynamic uncertain bidding environment has always been a significant subject of interest in the context of energy markets.
Ning Wang   +3 more
doaj   +1 more source

The Reserve Price Optimization for Publishers on Real-Time Bidding on-Line Marketplaces with Time-Series Forecasting

open access: yesFoundations of Management, 2020
Today's Internet marketing ecosystems are very complex, with many competing players, transactions concluded within milliseconds, and hundreds of different parameters to be analyzed in the decision-making process.
Wodecki Andrzej
doaj   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

open access: yesMolecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla   +9 more
wiley   +1 more source

Stochastic Up to Congestion Bidding Strategy in the Nodal Electricity Markets Considering Risk Management

open access: yesIEEE Access, 2020
Up to congestion (UTC) is a type of financial product available in the nodal electricity markets of the United States, based on which a financial participant can earn profits by utilizing the different congestion and loss components of the electricity ...
Dongliang Xiao, Haoyong Chen
doaj   +1 more source

Impossible Asks: Can the Transparency and Consent Framework Ever Authorise Real-Time Bidding After the Belgian DPA Decision?

open access: yesTechnology and Regulation, 2022
On 2 February 2022, the Belgian Data Protection Authority handed down a decision concerning IAB Europe and its Transparency and Consent Framework (TCF), a system designed to facilitate compliance of real-time bidding (RTB), a widespread online ...
Michael Veale   +2 more
doaj   +1 more source

Rational bidding using reinforcement learning: an application in automated resource allocation [PDF]

open access: yes, 2008
The application of autonomous agents by the provisioning and usage of computational resources is an attractive research field. Various methods and technologies in the area of artificial intelligence, statistics and economics are playing together to ...
A. Sherstov   +17 more
core   +2 more sources

Hands‐on protocol for preparing water‐soluble fractions from agri‐food samples for NMR‐based metabolomics analysis

open access: yesFEBS Open Bio, EarlyView.
This research protocol outlines a workflow for nuclear magnetic resonance (NMR)‐based metabolomics in the agri‐food sector. Using two case studies—strawberry leaves (solid matrix) and wine (liquid matrix)—it details the procedures for sample preparation, data acquisition, and processing.
Andrea Fernández‐Veloso   +4 more
wiley   +1 more source

Gaussian Residual Bidding Based Coalition for Two-Settlement Renewable Energy Market

open access: yesIEEE Access, 2018
To stabilize the output variability of renewable energy sources (RESs), distributed RESs can be aggregated and treated as any other conventional generators in the existing electricity markets.
Seunghyoung Ryu   +3 more
doaj   +1 more source

Operational planning and bidding for district heating systems with uncertain renewable energy production [PDF]

open access: yes, 2018
In countries with an extended use of district heating (DH), the integrated operation of DH and power systems can increase the flexibility of the power system achieving a higher integration of renewable energy sources (RES).
Andersen, Anders N.   +3 more
core   +2 more sources

Generative Bid Shading in Real-Time Bidding Advertising

open access: yes
Bid shading plays a crucial role in Real-Time Bidding~(RTB) by adaptively adjusting the bid to avoid advertisers overspending. Existing mainstream two-stage methods, which first model bid landscapes and then optimize surplus using operations research techniques, are constrained by unimodal assumptions that fail to adapt for non-convex surplus curves ...
Huang, Yinqiu   +8 more
openaire   +2 more sources

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