scholarly journals Analyzing Small Industrial and Commercial User Demand for Electricity

2018 ◽  
Vol 08 (14) ◽  
pp. 3109-3115
Author(s):  
Keighton R. Allen ◽  
Thomas M. Fullerton
Keyword(s):  
Author(s):  
Yuvaraj Natarajan ◽  
Srihari Kannan ◽  
Gaurav Dhiman

Background: Cloud computing is a multi-tenant model for computation that offers various features for computing and storage based on user demand. With increasing cloud users, the usage increases that highlights the problem of load balancing with limited resource availability based on dynamic cloud environment. In such cases, task scheduling creates fundamental issue in cloud environment. Introduction: Certain problems such as, inefficiencies in load balancing latency, throughput ratio, proper utilization of the cloud resources, better energy consumption and response time have been observed. These drawbacks can be efficiently resolved through the incorporation of efficient load balancing and task scheduling strategies. Method: In this paper, we develop an efficient co-operative method to solve the most recent approaches against load balancing and task scheduling have been proposed using Ant Colony Optimization (ACO). These approaches enables in the clear cut identification of the problems associated with the load balancing and task scheduling strategies in the cloud environment. Results: The simulation is conducted to find the efficacy of the improved ACO system for load balancing in cloud than the other methods. The result shows that the proposed method obtains reduced execution time, reduced cost and delay. Conclusion: A unique strategic approach is developed in this paper, Load Balancing, which works with the ACO in relation to the cloud workload balancing task through the incorporation of the ACO technique. The strategy for determining the applicant nodes is based on which the load balancing approach would essentially depend. By incorporating two different approaches: the maximum minute rules and the forward-backward ant, this reliability task can be established. This method is intended to articulate the initialization of the pheromone and thus upgrade the relevant cloud-based physical properties.


Author(s):  
Filippo Oncini

AbstractCOVID-19 has brought to light the severity of economic inequalities by testing the capacity of the poorest families to make ends meet. Food insecurity has in fact soared all over the UK, with many people forced to rely on food support providers to not go hungry. This paper uses a unique dataset on 55 food support organizations active in Greater Manchester during the first COVID-19 wave, and 41 semi-structured interviews with food aid spokespersons and stakeholders, to shed light on what they overcame, the complications and drawbacks of the food emergency response plan put in place. The results indicate that food aid organizations that remained open were surprisingly effective despite the growth in user demand and the decrease in volunteers. However, the necessity to maintain a timely supply food at all costs came with important drawbacks. The lockdown measures that followed COVID-19 not only affected the financial stability and management of the organizations, and the availability of food, but undermined the ways in which food support providers used to operate. Owing to physical distancing measures and to the increasing numbers of users, more or less intangible forms of support such as financial advice, empathic listening and human warmth were partially lost, probably when they were needed more than ever.


2020 ◽  
Vol 13 (1) ◽  
pp. 31
Author(s):  
Enrico Creaco ◽  
Giacomo Galuppini ◽  
Alberto Campisano ◽  
Marco Franchini

This paper presents a two-step methodology for the stochastic generation of snapshot peak demand scenarios in water distribution networks (WDNs), each of which is based on a single combination of demand values at WDN nodes. The methodology describes the hourly demand at both nodal and WDN scales through a beta probabilistic model, which is flexible enough to suit both small and large demand aggregations in terms of mean, standard deviation, and skewness. The first step of the methodology enables generating separately the peak demand samples at WDN nodes. Then, in the second step, the nodal demand samples are consistently reordered to build snapshot demand scenarios for the WDN, while respecting the rank cross-correlations at lag 0. The applications concerned the one-year long dataset of about 1000 user demand values from the district of Soccavo, Naples (Italy). Best-fit scaling equations were constructed to express the main statistics of peak demand as a function of the average demand value on a long-time horizon, i.e., one year. The results of applications to four case studies proved the methodology effective and robust for various numbers and sizes of users.


2014 ◽  
Vol 496-500 ◽  
pp. 1007-1011
Author(s):  
Jian Hua Fang ◽  
Wei Yan

The design of seal device that can be used in carbide actor is a real problems.This paper presents a kind of oblique-cone-slid-ring (OCSR) assembly seal device that can self-compensate the seal wear in application. The max contact stress on the seal surface and other contact face is far bigger than the work stress of sealed medium in carbide actor. That means the design satisfies the user demand . Keywords: oblique-cone-sliding-ring (OCSR) assembly seal; self-compensation to seal wear; finite element analysis; contact stress;


2019 ◽  
Vol 49 (11) ◽  
pp. 3873-3886 ◽  
Author(s):  
Junni Zou ◽  
Liwan Huang ◽  
Xiaofeng Gao ◽  
Hongkai Xiong

2020 ◽  
Vol 8 (3) ◽  
pp. 173-184
Author(s):  
Tor Håkon Jackson Inderberg

With national electricity systems, ‘transition’ may involve decentralising production and ownership, and digitalising the system. These processes are facilitated by smart metering, ‘prosuming,’ and changes in consumer behaviour. Driving factors may be national steering, or the process can be left to the market. In Norway, the government has opted for tightly steered national coordination of three key areas: national smart-meter implementation (since 2011), prosumer regulation (since 2016), and a national end-user demand flexibility regulation (expected to be adopted in 2020). These regulations influence production patterns, energy flows and grid activities. Drawing on organisational fields theory, this article asks: Why was it decided to adopt these policies centrally? Which actors have had greatest influence on policy outputs? And, finally, what of the possible implications? The regulations, developed in a sector in a state of field crisis, have generally been supported by the relevant actors. The Norwegian case can help to explain incumbent roles and field crisis, as well as nuanced drivers in complex transitions, beyond decarbonisation.


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