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A Conceptual approach for development of solar power supply in aquaculture farm using net meter system in Nagapattinam Area
D.Babiyola
Pages: 1-7 | First Published: 05 May 2019
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Abstract

 Aquaculture, Renewable energy, Solar Power, Cost of energy The Aquaculture industry has a huge power demand and spends 40% of its total operating cost to electricity. The  demand can be met by using an alternate source to produce electricity, as renewable energy resources like solar, wind, hydro, tidal, geo thermal energy are some options to consider. Naturally, sea shore has high sun intensity and therefore solar energy might be the best alternate source. Here solar power is integrated with the grid power supply for the uninterrupted electricity
usage. This System as called the on-grid net-metering system. This paper aims to analyze the feasibility of the on-grid net metering system according to the cost of energy (CoE). The results are derived from the optimal sizing of 100KW photovoltaic Solar panels. As a result that the cost of energy is about Rs.1.71/Kwh, Which shows the solar power, is  economically feasible and cost-effective 
Keywords: Aquaculture, Renewable energy, Solar Power, Cost of energy
 

References

1. Igib Prasetyaningsari, Agus Setiawan and Ahmad Agus Setiawan“Design optimization of solar powered aeration system for fish pond in Sleman Regency, Yogyakarta by HOMER software,” Selection and peer-review under responsibility of the Research Centre for Electrical Power and Mechatronics, Indonesian Institute of Sciences. 
2. doi: 10.1016/j.egypro.2013.05.012
3. Use of renewable energy in aquaculture: An energy audit case-study analysis Article in Global  Nest Journal · September 2013. 
4. Energy maagments of grid connected rooftop solar systems with battery      storage  authers S  Charan Teja,Pradeep kumar yamula DOI: 10.1109/ISGT-Asia.2016.7796555
5. International Journal of Advancements in Research & Technology, Volume 1, Issue6, 2  November-2012 ISSN 2278-7763 Copyright © 2012 SciResPub. A New Approach to Design of an optimized Grid Tied Smart Solar Photovoltaic (PV) System M. Mehedi Farhad1* , M. Mohammad Ali2 , M. Asif Iqbal3 , N. Nahar Islam4 , N. Ashraf 
6. Design of Solar PV System Arpit garg1 , MS. ANKITA bhatia2 , MD. ASIF IQBAL3 , DR. DEEPIKA CHAUHAN4 1,2,3,4 Department of Electrical Engineering, Poornima College of Engineering, Jaipur 
7. Installation of Net metering Grid Connected Solar Power Generation System for Residential Purpose 1Dr.Smt.G.Prasanthi, 2A.Nageswara Reddy 1Professor & Director, 2PG Research Scholar, Energy Systems 1,2Department of Mechanical Engineering, 1Faculty Development and IQAC 1 JNTUA, Ananthapuramu , Andhra Pradesh, India, 2 JNTUA College of Engineering Ananthapuramu, Andhra Pradesh,India. 
8. Ayer N.W., Tyedmers P.H., Pelletier N.L., Sonesson U., and Scholz A. (2007) Co-Product Allocation in Life Cycle Assessments of Seafood Production Systems: Review of Problems and Strategies, Int J LCA, 12, 480–487 

Can Rising Wedge Pattern Predict Prices – Evidence from Indian Stock Market
Dr. Sajeeve V.P.
Pages: 8-13 | First Published: 05 May 2019
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Abstract
Rising wedge is one of the traditional patterns in technical prediction toolkit claimed to be potent to foretell security prices. Price objective is the expected post-pattern price movement that the pattern is expected to achieve immediately after breakout of prices from lower boundary. This paper examines whether the pattern achieves price objective expected of it so as to consider it as a predictive tool for superior return. The study finds that all the rising wedges are not reliable to act  upon as all of them do not achieve the whole price objective even on the third reversal day post signal and hence lack predictive value. 
Keywords: Technical analysis, stock market. Stock chart, Pattern, Rising Wedge, Price Objective, Achievement, Predictive Tool.
 

Books

  • Bauer Jr. Richard J. and Dahlquist Julie R., Technical Market Indicators: Analysis &  Performance, John Wiley & Sons, Inc. New York the USA., (p. vii), (1999)

  • Gupta. O.P., ‘Behaviour of share Prices in India – A Test of Market Efficiency’,  National Publishing House, New Delhi, 1985.

  • Lorie, James H. and Mary T. Hamilton. ‘The stock Market Theories and Evidence’, Richard D. Irwin. Homewood Illinois, 1973.

  • Magee, John and Edwards, Robert D. ‘Technical Analysis of Stock Trends’, John Magee, Boston, Massachusetts, the USA.  

  • Pring J., Martin, `Technical analysis explained’, McGraw-Hill, (1991). Plummer, Tony, ‘Forecasting Financial Market-the Truth behind Technical Analysis’, Kogen Page Limited. Journals  Aggarwal. K.P., ‘Equity Price Behaviour in India since 1951 – 52’, Indian Journal of Economics Vo. 46, July 1965, pp. 63-92.

  • Barua and Raghunathan., ‘Inefficiency and Speculation in Indian Capital Markets’  Vikalpa, Vol. 12, July – Sept.’ pp. 53-58.

  • Cootner, Paul H., ‘Stock Prices: Random Vs Systematic Changes’ The Industrial Management Review, Vol. 13. No.2. Spring 1962. pp. 24-45. 

  • Fama, Eugene F., ‘Random Walks in Stock Market prices’, Financial Analyst Journa Vo. XXI. Gehm, Fred., ‘Who is R.N. Elliot and why is he making waves?’, Financial Analy Journal, February, 1983, pp. 51-58.

  • Levy, Robert A. ‘Relative Strength as a criterion for Investment Selection’. The Journal of Finance, Vo. XXII No. 4. December 1967, pp. 595-610.

  • Levy Robert.A., ‘Conceptual Foundations of Technical Analysis’ Financial Analyst Journal, July – August, 1966, pp. 83-89, Reprinted in Sree Profit. Vol. IV. August 1989.

  • Levy Robert A. Random Walks Reality or Myths’, Financial Analyst Journal, Vol. 23No. 6 Nov.Dec. 1967.

Websites  
https://www.metastock.com
https://www.investing.com
https://www.nseindia.com 
https://www.bseindia.com
https://in.finance.yahoo.com 
https://www.ssrn.com 
https://www.ino.com
https://trendspider.com

 

Technical Price Prediction and Achievement of Price Objective- A case Study of Falling Wedge Pattern
Dr. Sajeeve V.P.,
Pages: 14-21 | First Published: 05 May 2019
Full text | Abstract | Purchase | References | Request permissions

Abstract

Falling wedge is one of the traditional patterns in technical prediction tool-kit claimed to be potent to foretell security prices. Price objective of this pattern is the ‘extent of price rise’ that is traditionally expected to follow immediately after price breaks out upper boundary. This paper examines whether the pattern achieves traditional price objective so as to consider it as a predictive tool for superior return. The study finds that all the patterns are not equally reliable to act upon as all of them do not achieve the whole price objective even on the third reversal day post signal and hence lack predictive value. 

Keywords: Technical Analysis, Stock Market. Stock chart, Pattern, Falling wedge, Price Objective Achievement, Predictive Tool, Superior Return. 

Bibliography

Books

  • Bauer Jr. Richard J. and Dahlquist Julie R., Technical Market Indicators: Analysis & Performance, John Wiley & Sons, Inc. New York the USA., (p. vii), (1999)

  • Gupta. O.P., ‘Behaviour of share Prices in India – A Test of Market Efficiency’, National Publishing House, New Delhi, 1985.

  • Lorie, James H. and Mary T. Hamilton. ‘The stock Market Theories and Evidence’, Richard D. Irwin. Homewood Illinois, 1973.

  • Magee, John and Edwards, Robert D. ‘Technical Analysis of Stock Trends’, John Magee, Boston, Massachusetts, the USA. 

  • Pring J., Martin, `Technical analysis explained’, McGraw-Hill, (1991).

  • Plummer, Tony, ‘Forecasting Financial Market-the Truth behind Technical Analysis’,Kogen Page Limited.

 

Journals

  • Aggarwal. K.P., ‘Equity Price Behaviour in India since 1951 – 52’, Indian Journal of Economics Vo. 46, July 1965, pp. 63-92.

  • Barua and Raghunathan., ‘Inefficiency and Speculation in Indian Capital Markets’ – Vikalpa, Vol. 12, July – Sept.’ pp. 53-58.

  • Cootner, Paul H., ‘Stock Prices: Random Vs Systematic Changes’ The Industrial Management Review, Vol. 13. No.2. Spring 1962. pp. 24-45.

  • Fama, Eugene F., ‘Random Walks in Stock Market prices’, Financial Analyst Journal, Vo. XXI.

  • Gehm, Fred., ‘Who is R.N. Elliot and why is he making waves?’, Financial Analyst Journal, February, 1983, pp. 51-58.

  • Levy, Robert A. ‘Relative Strength as a criterion for Investment Selection’. The Journal of Finance, Vo. XXII No. 4. December 1967, pp. 595-610.

  • Levy Robert.A., ‘Conceptual Foundations of Technical Analysis’ Financial Analyst Journal, July – August, 1966, pp. 83-89, Reprinted in Sree Profit. Vol. IV. August, 1989.

  • Levy Robert A. Random Walks Reality or Myths’, Financial Analyst Journal, Vol. 23. No. 6 Nov.Dec. 1967.

Websites