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Автор: Grafiati

Опубліковано: 26 жовтня 2023

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Статті в журналах з теми "INDIAN ELECTRICITY MARKET"

Raj, Aniket, Utkarsh Gupta, Prabhakar Tiwari, and Asheesh K. Singh. "Market power analysis of the Indian power market." International Journal of Engineering, Science and Technology 13, no. 1 (July 9, 2021): 39–47. http://dx.doi.org/10.4314/ijest.v13i1.6s.

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Emerging electricity reforms in the power market aims at removing the monopolistic oligopoly power market and promoting competition in the market by providing opportunities to more producers. This paper seeks to investigate various existing structures of the Power Market. Indian Energy Exchange (IEX) and Power Exchange India Limited (PXIL) facilitates transparent trading of electricity, a larger market spectrum and allows the participation of other players in the market. Market power is an indicator of an non-competitive market, that is increase in the market power will result in the degradation of competition. This research will help modify the current parameters (HHI Index and Concentration ratio) which are used for measuring the market power of the power markets. As there is always deviation in unconstrained cleared volume and actual cleared or scheduled volume, deviation arises due to the volume of electricity that could not be cleared because of congestion in the power exchange. The researchers have also examined the Indian Power market and analyzed different developed power markets of the world like the US Pennsylvania-New Jersey-Maryland Interconnection (PJM) and the Nordpool.

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Girish, G. P., Badri Narayan Rath, and Vaseem Akram. "Spot electricity price discovery in Indian electricity market." Renewable and Sustainable Energy Reviews 82 (February 2018): 73–79. http://dx.doi.org/10.1016/j.rser.2017.09.009.

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Siddiqui, Md Zakaria, Gauthier de Maere d'Aertrycke, and Yves Smeers. "Demand response in Indian electricity market." Energy Policy 50 (November 2012): 207–16. http://dx.doi.org/10.1016/j.enpol.2012.06.030.

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Prabavathi, M., and R. Gnanadass. "Electricity trading in Indian restructured power market." International Journal of Energy Technology and Policy 10, no. 3/4 (2014): 320. http://dx.doi.org/10.1504/ijetp.2014.066886.

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Bajpai, Prabodh, and Sri Niwas Singh. "Effective market monitoring for surveillance of the Indian electricity market." International Journal of Energy Sector Management 3, no. 3 (September 11, 2009): 275–92. http://dx.doi.org/10.1108/17506220910986806.

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Ryan, Nicholas. "The Competitive Effects of Transmission Infrastructure in the Indian Electricity Market." American Economic Journal: Microeconomics 13, no. 2 (May 1, 2021): 202–42. http://dx.doi.org/10.1257/mic.20180191.

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The integration of markets may improve efficiency by lowering costs or reducing local market power. India, seeking to reduce electricity shortages, set up a new power market, in which transmission constraints sharply limit trade between regions. During congested hours, measures of market competitiveness fall and firms raise bid prices. I use confidential bidding data to estimate the costs of power supply and simulate market outcomes with more transmission capacity. Counterfactual simulations show that transmission expansion increases market surplus by 22 percent, enough to justify the investment. One-third of this gain is due to sellers’ response to a more integrated grid. (JEL H54, L13, L94, O13, Q41)

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Girish, G. P. "Spot electricity price forecasting in Indian electricity market using autoregressive-GARCH models." Energy Strategy Reviews 11-12 (June 2016): 52–57. http://dx.doi.org/10.1016/j.esr.2016.06.005.

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Kumar, B. Rajesh, and K. S. Sujit. "Debt Strategy Trends of Emerging Market Firms." International Journal of Strategic Decision Sciences 8, no. 4 (October 2017): 86–101. http://dx.doi.org/10.4018/ijsds.2017100104.

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Different industry sectors have high degree of variation with respect to financial leverage. The excessive use of financial leverage by firms had played a paramount role in the 2008 financial crisis. This study examines the average debt intensity of different industrial sectors during different time period. The study was based on a sample of approximately 20,000 companies representing 19 different industry sectors. The study explores whether there exist persistent differences in leverage ratios across different industry sectors in India. The study examines whether the leverage measures of the Indian firms have changed during different period of analysis. The study also examines the determinants of an optimal capital structure. Electricity sector is the most debt intensive sector among the different industry sectors. Communication, construction and real estate sectors were the next debt intensive sectors among the Indian industrial sectors. The average debt equity ratio of all the industry sectors was 16.57 reflecting the high debt intensity characteristics of Indian Industry. The mean debt equity ratio ranged from 1.45 (Machinery & Transport) to 85.64(Electricity) during the period 2005-2016. The average return on capital employed was negative for all the sectors during the period 2000-2016 except for electricity sector. The average leverage of 10 industry sectors increased in the period 2010-2016 compared to the period 2000-2009. The study document statistically significant variation in mean leverage ratio for industry sectors like communication, construction and real estate, electricity and miscellaneous manufacturing. The most leverage intensive sector construction and real estate sector was the only sector with positive average return on capital and had highest cash flow intensity during the period 2010-2016. Regression results finds statistically significant negative relationship between profitability and leverage. Less profitable firms tend to use more financial leverage. Firms that have more profits tend to have lower leverage. This result is in line with pecking order theory. Some evidence suggest that debt ratio is inversely related to the costs of financial distress. Firms with higher discretionary expenditures tend to have higher cash flows and hence lower costs of bankruptcy. Textile, metal, financial services, electricity and consumer goods are highly debt intensive industries.

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Chattopadhyay, D., S. K. Chatterjee, and S. K. Soonee. "Spotlight on the spot market: A review of the indian wholesale electricity market." Electricity Journal 36, no. 1 (January 2023): 107239. http://dx.doi.org/10.1016/j.tej.2023.107239.

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Chawda, Sandeep, and S. Deshmukh. "Assessment of Price Risk of Power under Indian Electricity Market." International Journal of Computer Applications 59, no. 11 (December 18, 2012): 12–17. http://dx.doi.org/10.5120/9590-4207.

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Більше джерел

Дисертації з теми "INDIAN ELECTRICITY MARKET"

Augustine, Akhil. "COMPARISON OF SWEDISH AND INDIAN ELECTRICITY MARKET." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-40434.

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Анотація:

This project aims to make a comparison between the Swedish and Indianelectricity market, the design of new improvements will achieve a betteroperation for both markets as well as the price forecasting for markets. Thisresults will give a clear idea about the electricity prices, different energy uses andpeak hours and also the carbon dioxide emissions.Also the main organizations of the market and their roles has been characterized,discussing about the functions of the Market Operator and the System Operator.And also the different markets, the trading products and the price formation havebeen explained and giving an idea about the market structure with enough details.Moreover, Time Series Analysis explained in a detail manner and some of themost used methods in Time Series Analysis are also explained in a very goodmanner. Mainly the results section includes the description of the market situationin Swedish and Indian electricity markets comparison, which includes Powerinstalled capacity, electricity generation, main renewable technologies andpolicies to increase the renewable energy share in total electricity generated.After this analysis, the strengths and weakness of both markets are presented andthe main problems of Swedish electricity system like dependency for nuclearpower, uncertainty for solar electricity generation and the Indian electricitysystem problems like high losses in power system, power quality issues, and veryless focus on energy mix with renewable systems.Finally, due to the quick development of the energy sector in the last few yearsto reach a new design for the electricity market, different kinds ofrecommendations for the future have been considered.

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KUMAR, NEERAJ. "DESIGNING OF MARKET MODEL, EFFECTIVE PRICE FORECASTING TOOL AND BIDDING STRATEGY FOR INDIAN ELECTRICITY MARKET." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18910.

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The Development scenario for renewable energy across the globe is changing rapidly in terms of capacity addition and grid interconnection. Penetration of renewable energy resources into grid is necessary to meet the elevated demand of electricity. In view of this penetration of solar and wind power growing enormously across the globe. Solar energy is widely escalating in terms of generation and capacity addition due its better predictability over wind energy. Electricity pricing is one of the important aspects for power system planning and it felicitates information for the electricity bidder for exact electricity generation and resource allocation. The important task is to forecast the electricity price accurately in grid interactive environment. This task is tedious in renewable integrated market due to intermittency issue. As renewable energy penetration into the grid is enhancing swiftly. An appropriate market model addressing the issues of related to renewable energy specially wind and solar is necessary. A novel solar energy-based market model is proposed for state level market along with the operating mechanism. The different component associated with grid and their functionality in the operation of grid is discussed. Challenges and possible solutions are addressed to implement the market model. Energy trading plays a crucial role in the economic growth of country. Renewable energy trading opens a new avenue for the economic growth. India is blessed with a rich solar energy resources, the solar power producers tapped the potential of solar up to appreciable extent, but due to lack of trading models and specific regulatory mechanism in context of renewable energy generation is main hurdle in competition among generators. Various market model developed for solar energy trading at state level electricity along with their trading mechanism is presented. Also features of the models are also addressed. xiii A Rigorous literature review on price forecasting is conducted with focus on impact of solar and wind energy on electricity price. The data of Australia electricity market is collected for price forecasting. The correlation among the inputs for price is calculated using correlation coefficient formula and selected the highly corelated input with price. Artificial Neural Network (ANN) is implemented to forecast the price by using historical data. The price is predicted for January to June month and weekly forecast of price for the same month is executed. The minimum MAPE is 1.94 for April month and 1.03 for third week of January. The research work is continued to investigate the impact of solar and wind energy on electricity price. The Long short-term memory (LSTM) is designed to forecast the electricity price considering the solar power penetration. The raw data of Austria market consists of actual day ahead load, forecasted day ahead load, actual day ahead price and actual solar generation is used. The reliability of forecasting model is analyzed by computation of confidence interval on MAPE. The research work is extended to investigate the impact of wind energy on electricity price. The Austria electricity market data is used for investigating the potential impact of wind energy on rice. The statistical analysis of the data is conducted for finding the suitability of the model. Decision tree model is designed and implemented and significant reduction in the forecasting accuracy of 5.802 is achieved for the data set using wind energy as input parameter. The future of solar energy in India is positive. The growth of solar energy in terms of capacity addition and grid interconnection programme is expanding day by day. To promote the solar energy trading in open market a suitable bidding mechanism must be designed for solar power producers. It becomes pertinent to design the bidding strategy for solar power producers to maximize their profit considering the uncertainty in the energy output. Hybrid Particle Swarm Optimization – Gravitational Search Algorithm (HPSO - GSA) is proposed for designing the optimal bidding strategy for solar PV power producer for designed solar energy xiv based Indian electricity market. The objective function is designed considering the constraint of uncertainty and energy imbalance in price. The proposed algorithm shows highest profit when compared with Real Coded Genetic Algorithm (RCGA), Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). In the light of continual renewable energy growth and grid interconnection, a novel solar energy-based electricity market model addressing the issues of solar energy is proposed to make the system effective and reliable. This novel market may fill the promise of providing electricity at competitive cost for all in India. The various market models are proposed for trading the solar energy in competitive market for maximum utilization of untapped potential of solar energy. The various trading models may be implemented based on the application and suitability. The electricity price forecasting is an important aspects of power system planning and for renewable energy interactive grid price forecasting is crucial task due its intermittent nature. ANN model is proposed for price forecasting and significant improvement in MAPE is reported for Australia electricity market data. Further the investigation has been done on the impact of solar energy generation on electricity price using machine learning techniques (DT, RF, LASSO, XGBOOST and LSTM). The LSTM model accuracy is good in price forecasting with consideration of solar energy as input parameter. The investigation is extended for impact of wind energy on electricity price and Decision tree model accuracy is superior as compared to RF, LASSO, LR, SVR and DNN model. The bidding strategy for the designed solar based electricity model is proposed using HPSO-GSA method and profit calculation has been done for solar PV producers on real time data. The maximized profit has been obtained through HSPO-GSA method for two different sets of datasets.

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Chatterjee, Elizabeth. "Underpowered : electricity policy and the state in India, 1991-2014." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:2d97e1ca-b31c-4dc3-a0c8-6352c95280c1.

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How has the Indian state changed with economic liberalization? While many scholars have explored the altered party politics and class basis of the liberalization-era state, few have studied its transforming internal organizational forms and functioning. This thesis aims to provide an empirically grounded answer to this question. To do this it uses the lens of electricity: the sector lies at the heart of contemporary capital accumulation, state power, and distributive politics, and has witnessed almost a quarter-century of institutional reforms since 1991. In the sector, new or reworked organizational forms—such as imported regulatory agencies, corporatized state-owned enterprises, and public-private partnerships—have been grafted onto the older statist system in a process of institutional layering. Favouring state-business collaboration and prioritizing rapid economic growth, this mode of state operation is distinct both from a liberal, market-oriented state and from India’s older state-led mode. It combines state intervention and selective adoption of parts of the Washington Consensus template to produce a reinvented mode of power governance that I term state capitalism 2.0. India’s new state-market hybrid is not a functional alternative to the older models, however. The layered process through which it has emerged means that it is distinctively dysfunctional. Organizations have emerged in an ad hoc fashion, each shaped and reshaped by multiple collective interests, while existing organizations are rarely destroyed. The resulting layered amalgam institutionalizes contradictory state strategies, co-optation by competing interest groups, and a dualistic system of services and subsidies. Consequently the sector’s performance remains poor. As a result, developments in the Indian power sector suggest that the state's 'pro-business' transition has been painful and incomplete. At least in this sector, the Indian state remains simultaneously more indispensable, more ambivalently pro-business, and more chaotic than much theory might suggest.

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Hansen, Christopher Joshi. "A bottom-up model of electricity reform for developing countries : a case study of Gujarat, India." Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:dd6fd7af-b664-4fab-acc6-2be9efacf498.

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In many developing countries, the electricity system is too weak to meet growing demand and the availability and reliability of generating capacity is inadequate. Protracted mismanagement, political interference, subsidised pricing, and corruption all undermine the ability of developing electricity supply industries to finance and deliver service or attract new private investment. Power sector reform is an acute need in developing countries where implementation of a top-down liberalisation approach has been pursued without adequately considering the social, political and economic conditions. The conventional response to low levels of electricity sector investment has been from the top-down: aim to create competitive electricity markets by encouraging new entry into the generation sector and by breaking up vertically integrated power companies. Using a case study from Gujarat, India, this thesis argues for an alternative approach—utilise distributed generation (DG) and captive power capacity (self-generation) of industry to reshape the generation and distribution sectors from the bottom-up. The thesis examines the economic viability of distributed generation in a rural setting and captive power for industrial use in Gujarat, India, taking into account the economic, technical and political factors that shape investment decisions. In India, 40 percent of the population still does not have an electricity connection, but an array of new energy technologies for small-scale electricity generation near the site of use may provide a new development path. The bottom-up model enables rapid addition of generation capacity to a system struggling to meet demand while increasing competition in the power market. The thesis concludes that more power from independent and industrial sources will best harness the financial and engineer resources of the Indian electricity supply industry (ESI) and ultimately benefit the economy. The solution proposed is not suggested as an optimal policy programme, but instead is advanced as the best of the feasible options available within current political and economic constraints.

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Книги з теми "INDIAN ELECTRICITY MARKET"

Shukla, Umesh Kumar. Analysis of competition and market power in wholesale electricity market in India. Bangalore: Centre for Public Policy, Indian Institute of Management, 2009.

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Shukla, Umesh Kumar. The impact of power exchanges on electricity prices in the wholesale electricity market in India. Bangalore: Centre for Public Policy, Indian Institute of Management, 2010.

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R, Shukla P., ed. Electricity reforms in India: Firm choices and emerging generation markets. New Delhi: Tata McGraw-Hill Pub. Co., 2004.

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Shukla, P. R. Electricity Reforms in India: Firm Choices and Emerging Generation Markets. Tata McGraw-Hill Publishing Company, 2004.

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Shukla, P. R. Electricity Reforms in India: Firm Choices and Emerging Generation Markets. Tata McGraw-Hill Publishing Company, 2004.

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Keohane, Georgia Levenson. Capital and the Common Good. Columbia University Press, 2017. http://dx.doi.org/10.7312/columbia/9780231178020.001.0001.

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Despite social and economic advances around the world, poverty and disease persist, exacerbated by the mounting challenges of climate change, natural disasters, political conflict, mass migration, and economic inequality. While governments commit to addressing these challenges, traditional public and philanthropic dollars are not enough. Here, innovative finance has shown a way forward: by borrowing techniques from the world of finance, we can raise capital for social investments today. Innovative finance has provided polio vaccines to children in the DRC, crop insurance to farmers in India, pay-as-you-go solar electricity to Kenyans, and affordable housing and transportation to New Yorkers. It has helped governmental, commercial, and philanthropic resources meet the needs of the poor and underserved and build a more sustainable and inclusive prosperity. Capital and the Common Good shows how market failure in one context can be solved with market solutions from another: an expert in securitization bundles future development aid into bonds to pay for vaccines today; an entrepreneur turns a mobile phone into an array of financial services for the unbanked; and policy makers adapt pay-for-success models from the world of infrastructure to human services like early childhood education, maternal health, and job training. Revisiting the successes and missteps of these efforts, Georgia Levenson Keohane argues that innovative finance is as much about incentives and sound decision-making as it is about money. When it works, innovative finance gives us the tools, motivation, and security to invest in our shared future.

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Parker, Philip M. The 2007 Import and Export Market for Boards, Panels, Consoles, and Bases for Electric Control or Distribution of Electricity of Voltage of Up to 1,000 Volts in India. ICON Group International, Inc., 2006.

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Частини книг з теми "INDIAN ELECTRICITY MARKET"

Girish, G. P., and S. Vijayalakshmi. "Spot Electricity Price Dynamics of Indian Electricity Market." In Lecture Notes in Electrical Engineering, 1129–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41674-3_157.

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Anamika and Niranjan Kumar. "Market-Clearing Price Forecasting for Indian Electricity Markets." In Proceeding of International Conference on Intelligent Communication, Control and Devices, 633–42. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1708-7_72.

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Budhwar, Pawan, Jyotsna Bhatnagar, and Debi Saini. "Organizational Change and Development: A Case Study in the Indian Electricity Market." In Ready for Change?, 145–63. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137008404_9.

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Sharma, Dipti. "Changing Scenario of Indian Electricity Supply Industry: Study of Short-Term Power Market in India." In Energy Security and Development, 349–59. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2065-7_23.

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Ubrani, Ashish, and Simran Motwani. "LSTM- and GRU-Based Time Series Models for Market Clearing Price Forecasting of Indian Deregulated Electricity Markets." In Advances in Intelligent Systems and Computing, 693–700. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3393-4_70.

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Yadav, Harendra Kumar, Yash Pal, and M. M. Tripathi. "Parameter Optimization Using PSO for Neural Network-Based Short-Term PV Power Forecasting in Indian Electricity Market." In Lecture Notes in Electrical Engineering, 331–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29407-6_25.

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Parhi, Mamata. "The Role of Electricity Market Reform and Socio-economic Conditions in Electricity Consumption in India." In Revisiting Electricity Market Reforms, 185–206. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4266-2_8.

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Agarwal, Naveen, Naqui Anwer, and Gopal K. Sarangi. "Impact Assessment of Cross-Subsidy Surcharge on Electricity Demand in Short-Term Power Market in India." In Lecture Notes in Electrical Engineering, 35–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1186-5_4.

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Satapathy, Suchismita. "Measurement of Electricity Distribution Service in India by Soft Computing Technique (ANN)." In Advances in Environmental Engineering and Green Technologies, 348–60. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6631-3.ch014.

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Indian electric power division networks have evolved under certain assumptions. Industry architectures that bear multidirectional information exchange between the regulatory rules and the technology developers are likely to move toward to achieve optimal performance. Currently, very little attention is given to the potential for quality of service discrimination and improvements and/or cost reduction of electricity sector. Effective customer satisfaction investigation is a very important prerequisite for power supply enterprise to win in the market competition. It has for some time been realized that the performance of a service industry such as the electricity providers of a local authority is likewise evaluated by its consumers on the quality of its service delivered to the consumer. Therefore, in this chapter, efforts are taken to use an Artificial Neural Network (ANN) to evaluate service quality in an electricity utility industry.

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Pathak, Kashika Dubey. "Restructuring Power Industry in India." In Advances in Computer and Electrical Engineering, 347–53. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9911-3.ch017.

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Since the beginning of the nineties decade, many nations have undergone a change in the method of operations of the power network. The power sector was switched to open access market from vertically integrated market. The reasons for this change are many and they differ from nation to nation. The developing countries faced the problem of high demand growth along with irrational tariff policies and lack of efficiency in managing the power system. On the contrary, the developed countries restructured the power sector to provide electricity at lower prices and give the customers a number of operators to choose from. In short, the goal of restructuring is to encourage competition in the market along with providing consumers with more choices in purchasing economic energy and economic benefits. This might seem to be less complex but involves several issues which are discussed further. This chapter describes this restructuring of power sector with special reference to Indian scenario.

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Тези доповідей конференцій з теми "INDIAN ELECTRICITY MARKET"

Barpanda, S. S., S. C. Saxena, Harish Rathour, Kaushik Dey, and K. V. N. Pawan Kumar. "Renewable energy integration in Indian electricity market." In 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2015. http://dx.doi.org/10.1109/appeec.2015.7381034.

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Dattaray, Papiya, and Abhijit Abhyankar. "Tandem hydro scheduling in Indian electricity market." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672975.

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Anamika and Niranjan Kumar. "Market Clearing Price prediction using ANN in Indian Electricity Markets." In 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS). IEEE, 2016. http://dx.doi.org/10.1109/iceets.2016.7583797.

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Vachhani, Jainil, and Jay Joshi. "A Game Theoretic Model of Indian Electricity Market." In 2018 IEEE 38th Central America and Panama Convention (CONCAPAN XXXVIII). IEEE, 2018. http://dx.doi.org/10.1109/concapan.2018.8596382.

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Mishra, Sheetanshu, and S. N. Singh. "Indian electricity market: Present status and future directions." In 2015 IEEE UP Section Conference on Electrical Computer and Electronics (UPCON). IEEE, 2015. http://dx.doi.org/10.1109/upcon.2015.7456754.

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Rajan, Preethi, and K. R. M. Vijaya Chandrakala. "Statistical Model Approach of Electricity Price Forecasting for Indian Electricity Market." In 2021 IEEE Madras Section Conference (MASCON). IEEE, 2021. http://dx.doi.org/10.1109/mascon51689.2021.9563474.

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Tambe, Varada J., and S. K. Joshi. "Highlighting the Open Access Scenario in Electricity Market: Indian Context." In 2018 15th IEEE India Council International Conference (INDICON). IEEE, 2018. http://dx.doi.org/10.1109/indicon45594.2018.8987003.

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Singh, L. P., S. P. Jain, and D. K. Jain. "Power quality related consumers rights in Indian electricity market." In Energy Conference (EPEC). IEEE, 2009. http://dx.doi.org/10.1109/epec.2009.5420894.

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Bajpai, P., and S. N. Singh. "An electric power trading model for Indian electricity market." In 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1709055.

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Pal, Mayukha, P. Madhusudana Rao, and P. Manimaran. "Multifractal detrended cross-correlation analysis of Indian Electricity market." In 2015 50th International Universities Power Engineering Conference (UPEC). IEEE, 2015. http://dx.doi.org/10.1109/upec.2015.7339850.

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Звіти організацій з теми "INDIAN ELECTRICITY MARKET"

Ryan, Nicholas. The Competitive Effects of Transmission Infrastructure in the Indian Electricity Market. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23106.

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Konstantinou, Theodora, Diala Haddad, Akhil Prasad, Ethan Wright, Konstantina Gkritza, Dionysios Aliprantis, Steven Pekarek, and John E. Haddock. Feasibility Study and Design of In-Road Electric Vehicle Charging Technologies. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317353.

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Анотація:

Electric Roadways (ERs) or Dynamic Wireless Charging (DWC) lanes offer an alternative dynamic and wireless charging method that has the potential of giving electric vehicles (EV) limitless range while they are moving. Heavy-duty vehicles (HDVs) are expected to be early adopters of the DWC technology due to the higher benefits offered to these vehicles that are traveling on fixed routes. The goal of this project was to assess the feasibility of ERs in Indiana and design a test bed for in-road EV charging technologies. The most suitable locations for implementing DWC lanes were identified on interstates that are characterized by high truck traffic. Using I-65 S as a case study, it was found that DWC can be economically feasible for the developer and competitive for the EV owner at high and medium future projections of EV market penetration levels. However, the existing substations are unlikely to serve future DWC needs for HDVs. Thus, consideration should be given to substation expansion to support EVs as market penetration expands. Implementing the DWC technology on interstates and jointly with major pavement preservation activities is recommended. Large scale deployment can significantly reduce the high initial investment. Renewable energy resources (solar and wind) deployed in the vicinity of ERs can reduce the electricity costs and associated greenhouse gas emissions.

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