A Local Market Model Involving Prosumers Taking Into Account Distribution Network Congestions in Smart Cities

2014 ◽  
Vol 9 (5) ◽  
pp. 976 ◽  
Author(s):  
D. Menniti ◽  
A. Pinnarelli ◽  
N. Sorrentino ◽  
G. Belli
Keyword(s):  
Smart Cities ◽  
Distribution Network ◽  
Market Model ◽  
Local Market

scholarly journals A Study On Impact Of White Goods Towards consumers Preference

2021 ◽  
Vol 23 (12) ◽  
pp. 300-315
Author(s):  
Dr. S. Vijay ◽  
Keyword(s):  
Multinational Corporations ◽  
Distribution Network ◽  
Basic Function ◽  
Ease Of Use ◽  
Local Market ◽  
Consumer Durables ◽  
Fierce Competition ◽  
The Impact ◽  
Large Distribution ◽  
White Goods

The market’s level of competition has risen as a result of the advent of the overseas white goods industry. With rising earnings, dual-income families, changing lifestyles, credit availability, greater consumer knowledge, and the introduction of new models by Indian and multinational companies, India’s consumer durable sector is riding the crest of the country’s economic boom. As the Durable market is growing rapidly, an understanding of the consumer behavior regarding the characteristic of consumers in influencing their buying behavior is crucial. Consumer requirements of Air-condition, Washing machine and Refrigerator are at present not limited to its basic function but also on other values like – efficiency, ease of use and comfort. The consumer durables industry is marked by the growth of multinational corporations (MNCs), exchange offers, discounts, and fierce competition. MNCs have a 65 percent market share in the consumer durables industry. The expanding Indian middle class is a major focus for multinational corporations. They compete on the basis of a firm grasp on the local market, well-known brands, and a large distribution network, whereas Indian companies compete on the basis of a firm grasp on the local market, well-known brands, and a large distribution network. Consumer durables penetration, on the other hand, is still low in India. At this juncture, this study has been undertaken for to find out the impact and reality of white goods market in India.

scholarly journals Distribution Network for the Last Mile of Cross-Border E-business in a Smart City at Emerging Market in Response to COVID-19: A Key Node Analysis Based on a Vision of Fourth Party Logistics

2021 ◽  
Vol 9 ◽  
Author(s):  
Da Huo ◽  
Xiaotao Zhang ◽  
Yinghui Cai ◽  
Ken Hung
Keyword(s):  
Emerging Markets ◽  
Smart Cities ◽  
Emerging Market ◽  
Distribution Network ◽  
Distribution Networks ◽  
Distribution Centers ◽  
Cross Border ◽  
Last Mile ◽  
Fourth Party Logistics ◽  
Key Nodes

This research studies the development of distribution networks for the last mile distribution for cross-border E-business based on a vision of fourth party logistics (4PL) in smart cities in emerging markets in response to COVID-19. This research analyzes the distribution centers of distribution companies in Beijing city using fuzzy cluster analysis as a case study of smart cities. The location decision for distribution centers to serve cross-border E-business is further analyzed by considering the local conditions of the distribution centers. The solutions to the location decisions for distribution centers in different cases are further visualized by 2-mode networks. The key nodes in the distribution network of the last mile for cross-border E-business are further studied based on fourth-party logistics by a immune algorithm. Cross-border E-business value creation based on the development of distribution networks using fourth-party logistics is further discussed. The location distribution of key nodes can spread from the downtown district to suburban areas as the coverage of the distribution network is expanded. This research can help managers and decision makers address the last mile distribution for cross-border E-business in smart cities in emerging markets based on a vision of fourth-party logistics in response to COVID-19.

Establishing The Micro Foundations of a Macro Theory: Information, Movers, and the Competitive Local Market for Public Goods

1993 ◽  
Vol 87 (3) ◽  
pp. 702-713 ◽  
Author(s):  
Paul Teske ◽  
Mark Schneider ◽  
Michael Mintrom ◽  
Samuel Best
Keyword(s):  
Public Goods ◽  
Local Governments ◽  
Empirical Studies ◽  
Market Model ◽  
Current Debate ◽  
Local Market ◽  
Tiebout Model ◽  
Using Data ◽  
Micro Foundations

The Tiebout model of competition in the local market for public goods is an important and controversial theory. The current debate revolves around the apparent disparity between macro empirical studies that show greater efficiency in the supply of public goods in polycentric regions compared to consolidated ones and micro evidence of widespread citizen-consumer ignorance, which has been used to argue that individual actions cannot plausibly lead to efficiency-enhancing competition between local governments. We argue that competitive markets can be driven by a subset of informed consumers who shop around between alternate suppliers and produce pressure for competitive outcomes from which all consumers benefit. Using data from a survey of over five hundred households, we analyze the role of these marginal citizen-consumers and incorporate the costs of information gathering and the strategic interests of local governments into the competitive market model.

The Empirical Evidence for Citizen Information and a Local Market for Public Goods

1995 ◽  
Vol 89 (3) ◽  
pp. 705-709 ◽  
Author(s):  
David Lowery ◽  
W. E. Lyons ◽  
Ruth Hoogland DeHoog ◽  
Paul Teske ◽  
Mark Schneider ◽  
...  
Keyword(s):  
School Districts ◽  
Theoretical Analysis ◽  
Empirical Study ◽  
Empirical Evidence ◽  
Local Governments ◽  
Competitive Market ◽  
Market Model ◽  
Local Market ◽  
Tax Rates ◽  
General Importance

In their 1993 article in this Review, Paul Teske, Mark Schneider, Michael Mintrom, and Samuel Best sought to establish the microfoundations for a model of a competitive market for public services between local governments in polycentric regions. An important part of their model focused on subgroups of informed citizens, especially recent movers. Theoretical analysis was supplemented by an empirical study of the factors shaping accuracy of Long Island homeowners' information about relative expenditures and tax rates of their school districts. David Lowery, W. E. Lyons and Ruth Hoogland DeHoog criticize the relevance of this empirical evidence, suggesting the atypical nature of education as a service (especially in this site) and challenging the sufficiency of the demonstrated levels of information for generating a competitive market. Teske and his colleagues reply by pointing out the general importance of education throughout American local policymaking and by defending the relevance of their measures and conclusions for their market model.

A Local Market Model for Community Microgrids

2019 ◽  
Author(s):  
Iacopo Savelli ◽  
Bertrand Cornelusse ◽  
Simone Paoletti ◽  
Antonio Giannitrapani ◽  
Antonio Vicino
Keyword(s):  
Market Model ◽  
Local Market

scholarly journals Modeling and clustering water demand patterns from real-world smart meter data

2017 ◽  
Vol 10 (2) ◽  
pp. 75-82 ◽  
Author(s):  
Nicolas Cheifetz ◽  
Zineb Noumir ◽  
Allou Samé ◽  
Anne-Claire Sandraz ◽  
Cédric Féliers ◽  
...  
Keyword(s):  
Time Series ◽  
Water Consumption ◽  
Water Demand ◽  
Smart Grids ◽  
Water Distribution ◽  
Smart Cities ◽  
Distribution Network ◽  
Seasonal Patterns ◽  
Smart Meters ◽  
Time Step

Abstract. Nowadays, drinking water utilities need an acute comprehension of the water demand on their distribution network, in order to efficiently operate the optimization of resources, manage billing and propose new customer services. With the emergence of smart grids, based on automated meter reading (AMR), a better understanding of the consumption modes is now accessible for smart cities with more granularities. In this context, this paper evaluates a novel methodology for identifying relevant usage profiles from the water consumption data produced by smart meters. The methodology is fully data-driven using the consumption time series which are seen as functions or curves observed with an hourly time step. First, a Fourier-based additive time series decomposition model is introduced to extract seasonal patterns from time series. These patterns are intended to represent the customer habits in terms of water consumption. Two functional clustering approaches are then used to classify the extracted seasonal patterns: the functional version of K-means, and the Fourier REgression Mixture (FReMix) model. The K-means approach produces a hard segmentation and K representative prototypes. On the other hand, the FReMix is a generative model and also produces K profiles as well as a soft segmentation based on the posterior probabilities. The proposed approach is applied to a smart grid deployed on the largest water distribution network (WDN) in France. The two clustering strategies are evaluated and compared. Finally, a realistic interpretation of the consumption habits is given for each cluster. The extensive experiments and the qualitative interpretation of the resulting clusters allow one to highlight the effectiveness of the proposed methodology.

scholarly journals Decision Support for Negotiations among Microgrids Using a Multiagent Architecture

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2526 ◽  
Author(s):  
Tiago Pinto ◽  
Mohammad Fotouhi Ghazvini ◽  
Joao Soares ◽  
Ricardo Faia ◽  
Juan Corchado ◽  
...  
Keyword(s):  
Decision Support ◽  
Electricity Market ◽  
Market Model ◽  
Local Market ◽  
Multi Agent Systems ◽  
Market Environment ◽  
Decision Support Model ◽  
Agent Systems ◽  
Multi Agent ◽  
The Impact

This paper presents a decision support model for negotiation portfolio optimization considering the participation of players in local markets (at the microgrid level) and in external markets, namely in regional markets, wholesale negotiations and negotiations of bilateral agreements. A local internal market model for microgrids is defined, and the connection between interconnected microgrids is based on nodal pricing to enable negotiations between nearby microgrids. The market environment considering the local market setting and the interaction between integrated microgrids is modeled using a multi-agent approach. Several multi-agent systems are used to model the electricity market environment, the interaction between small players at a microgrid scale, and to accommodate the decision support features. The integration of the proposed models in this multi-agent society and interaction between these distinct specific multi-agent systems enables modeling the system as a whole and thus testing and validating the impact of the method in the outcomes of the involved players. Results show that considering the several negotiation opportunities as complementary and making use of the most appropriate markets depending on the expected prices at each moment allows players to achieve more profitable results.

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