This study employs neural networks and linear programming to optimize household electricity consumption and auxiliary power supply modes in Japan, aiming to enhance energy efficiency and reduce carbon dioxide emission...
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ISBN:
(数字)9798350377439
ISBN:
(纸本)9798350377446
This study employs neural networks and linear programming to optimize household electricity consumption and auxiliary power supply modes in Japan, aiming to enhance energy efficiency and reduce carbon dioxide emissions. Using TensorFlow, the neural network predicts electricity consumption based on local meteorological data, and these predictions are optimized via linear programming. The dataset covers six years, with five years allocated for training and one year for testing. The results demonstrate that the neural network accurately predicts household electricity consumption, maintaining daily fluctuations within 20 watts. Power supply optimization can lower monthly energy costs by 30%, improving distribution efficiency, fostering green energy development, and reducing household energy expenses.
We present two first-order primal-dual algorithms for solving saddle point formulations of linear programs, namely FWLP (Frank-Wolfe linear programming) and FWLP-P. The former iteratively applies the Frank-Wolfe algor...
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Maintaining resource fairness while achieving optimization for various performance metrics such as resource utilization, turnaround time and job latency is a well-known resource scheduling challenge in cloud computing...
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This article presents a novel methodology based on Sequential linear programming (SLP) for designing optimal (stealthy) attack sequences aimed at maximizing a nonlinear attack function. Our investigation extends to sc...
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ISBN:
(数字)9798350395440
ISBN:
(纸本)9798350395457
This article presents a novel methodology based on Sequential linear programming (SLP) for designing optimal (stealthy) attack sequences aimed at maximizing a nonlinear attack function. Our investigation extends to scenarios where adversaries can inject attack signals into both control in-put and sensor measurement channels through an unsecured communication network. Through a simulation example, we substantiate the effectiveness of our proposed approach. The proposed method emerges as a relevant tool for designing attack sequences tailored for injection into control systems, offering valuable insights for testing detection mechanisms.
In this work, the author presents a novel method for finding descent directions shared by two or more differentiable functions defined on the same unconstrained domain space. Then, the author illustrates an alternativ...
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This paper proposes an almost feasible Sequential linear programming (afSLP) algorithm. In the first part, the practical limitations of previously proposed Feasible Sequential linear programming (FSLP) methods are dis...
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Microgrids are low-voltage distribution network which comprise of controllable loads and distributed energy resources (DERs) that can be used in an isolated or grid-connected mode. The microgrid energy management syst...
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ISBN:
(数字)9798350370249
ISBN:
(纸本)9798350370270
Microgrids are low-voltage distribution network which comprise of controllable loads and distributed energy resources (DERs) that can be used in an isolated or grid-connected mode. The microgrid energy management system (EMS) is the hardware or software components used to efficiently operate microgrid energy resources by scheduling commitments for on-demand distributed generation units energy storage systems, energy imports and controllable loads to meet specific goals. Reliability, stability, and efficiency in microgrids are dependent upon effective energy management. The utilization of optimization techniques is crucial in accomplishing these goals. The optimization process present in the paper stores or sells energy battery system based on anticipated costs and load profile. The linear programming (LP) optimization approach minimize operating costs of microgrid for a sunny and cloudy day while maintaining the operational restrictions using MATLAB 2020. The results shows that on a cloudy day the cost of microgrid is 46.9% increased as compared to a sunny day.
In this paper, we use a linear programming (LP) optimization approach to evaluate the equivocation for a wiretap channel where the main channel is noiseless, and the wiretap channel is a binary symmetric channel (BSC)...
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The recent survey [2] nicknamed "Hitchhiker’s Guide" has raised the rating of quasi-copula problems in the dependence modeling community in spite of the lack of statistical interpretation of quasi-copulas. ...
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The irrigation water requirement in the Belitang Irrigation System cannot be fulfilled during dry season due to the limited water availability. Therefore, some agricultural land in the Belitang Irrigation System recei...
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The irrigation water requirement in the Belitang Irrigation System cannot be fulfilled during dry season due to the limited water availability. Therefore, some agricultural land in the Belitang Irrigation System receive inadequate irrigation water. To solve this problem, it is necessary to optimize the allocation of irrigation water, thus, the existing potential area could be optimized This study aimed to obtain optimum cropping area and maximum benefits by optimizing the allocation of irrigation water based on the dependable discharge and existing area. The optimum cropping area was obtained by making several alternative cropping patterns. The linear programming was used to analyze the optimization of irrigation water allocation. The results showed that the irrigation water allocation with a dependable discharge of 80% exhibited an optimum cropping area of 58,609 ha, cropping intensity of 271.36% and maximum benefits of IDR 1,041,186,630,000.00. From the results of these studies, the cropping pattern that can be applied by considering the water availability and the existing area to obtain the optimum cropping area and maximum benefit per year is paddy-paddy-paddy/second crop.
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