Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Prestwich, Steven"'
Efficiently integrating renewable resources into electricity markets is vital for addressing the challenges of matching real-time supply and demand while reducing the significant energy wastage resulting from curtailments. To address this challenge e
Externí odkaz:
http://arxiv.org/abs/2406.13851
Short-term electricity markets are becoming more relevant due to less-predictable renewable energy sources, attracting considerable attention from the industry. The balancing market is the closest to real-time and the most volatile among them. Its pr
Externí odkaz:
http://arxiv.org/abs/2402.06714
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning
Predicting future resource demand in Cloud Computing is essential for optimizing the trade-off between serving customers' requests efficiently and minimizing the provisioning cost. Modelling prediction uncertainty is also desirable to better inform t
Externí odkaz:
http://arxiv.org/abs/2303.13525
Publikováno v:
Computers and Operations Research, Elsevier, Vol. 158: 106289, 2023
The (R, s, S) is a stochastic inventory control policy widely used by practitioners. In an inventory system managed according to this policy, the inventory is reviewed at instant R; if the observed inventory position is lower than the reorder level s
Externí odkaz:
http://arxiv.org/abs/2202.08803
In this study we propose a hybrid estimation of distribution algorithm (HEDA) to solve the joint stratification and sample allocation problem. This is a complex problem in which each the quality of each stratification from the set of all possible str
Externí odkaz:
http://arxiv.org/abs/2201.04068
Autor:
Prestwich, Steven, Wilson, Nic
Publikováno v:
In International Journal of Approximate Reasoning August 2024 171
Publikováno v:
In Energy Strategy Reviews July 2024 54
In this paper we combine the k-means and/or k-means type algorithms with a hill climbing algorithm in stages to solve the joint stratification and sample allocation problem. This is a combinatorial optimisation problem in which we search for the opti
Externí odkaz:
http://arxiv.org/abs/2108.08038
Publikováno v:
European Journal of Operational Research, Elsevier, Vol. 294(1): 91-99, 2021
A well-know control policy in stochastic inventory control is the (R, s, S) policy, in which inventory is raised to an order-up-to-level S at a review instant R whenever it falls below reorder-level s. To date, little or no work has been devoted to d
Externí odkaz:
http://arxiv.org/abs/2012.14167
Autor:
Dogan, Vedat1 (AUTHOR) s.prestwich@cs.ucc.ie, Prestwich, Steven1 (AUTHOR)
Publikováno v:
Algorithms. Apr2024, Vol. 17 Issue 4, p146. 22p.