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Application of SPSS for Forecasting of Renewable Energy as Future Energy in India

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Advanced Machine Intelligence and Signal Processing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 858))

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Abstract

Energy consumption is promptly increasing in most developing countries since they foster their economic growth. Modern technological electrical devices in day-to-day activities require high consumption of energy. People’s requirement for higher living standard and rapid population growth are among the determinants in the demand of energy generation. There is increasing demand for the use of alternate or renewable energy sources to achieve clean and low-cost electricity to meet requirements. The potential for non-thermal onsite power generation also remains enormous in India with increasing investment in small-scale solar, wind power, biomass and other renewable resources. Promotion of energy production from the combination of sources of energy known as hybrid system is represented by an important objective of meeting the energy demand and justified by environmental protection and increase of energy independence. This paper portrays the forecast of renewable hybrid energy generation of India by using statistical package for social sciences (SPSS) as dependent variable and independent variables are mini hydro, solar, wind, biomass and other sources (Power generation from waste). The findings are similar and correspond with the assumptions in the relationship between variables.

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References

  1. Squalli, J.: Renewable energy, coal as a baseload power source, and greenhouse gas emissions: evidence from US state-level data. Energy 127, 479–488 (2017)

    Article  Google Scholar 

  2. Matsumoto, K., Doumpos, M., Andriosopoulos, K.: Historical energy security performance in EU countries. Renew. Sustain. Energy Rev. 82, 1737–1748 (2018)

    Article  Google Scholar 

  3. Cantarero, M.M.V.: Of renewable energy, energy democracy, and sustainable development: a roadmap to accelerate the energy transition in developing countries. Energy Res. Soc. Sci. 70, 101716 (2020)

    Google Scholar 

  4. Ghasemian, S., Faridzad, A., Abbaszadeh, P., Taklif, A., Ghasemi, A., Hafezi, R.: An overview of global energy scenarios by 2040: identifying the driving forces using cross-impact analysis method. Int. J. Environ. Sci. Technol. 1–24 (2020)

    Google Scholar 

  5. Erickson, P., Lazarus, M., Piggot, G.: Limiting fossil fuel production as the next big step in climate policy. Nat. Clim. Change. 8, 1037–1043 (2018)

    Article  Google Scholar 

  6. de Souza Mendonça, A.K., Barni, G.D.A.C., Moro, M.F., Bornia, A.C., Kupek, E., Fernandes, L.: Hierarchical modeling of the 50 largest economies to verify the impact of GDP, population and renewable energy generation in CO2 emissions. Sustain. Prod. Consum. 22, 58–67 (2020)

    Google Scholar 

  7. Laha, P., Chakraborty, B., Østergaard, P.A.: Electricity system scenario development of India with import independence in 2030. Renew. Energy 151, 627–639 (2020)

    Article  Google Scholar 

  8. Saraswat, S.K., Digalwar, A.K.: Evaluation of energy alternatives for sustainable development of energy sector in India: an integrated Shannon’s entropy fuzzy multi-criteria decision approach. Renew. Energy 171, 58–74 (2021)

    Article  Google Scholar 

  9. Colmenar-Santos, A., Muñoz-Gómez, A.-M., Rosales-Asensio, E., López-Rey, Á.: Electric vehicle charging strategy to support renewable energy sources in Europe 2050 low-carbon scenario. Energy 183, 61–74 (2019)

    Article  Google Scholar 

  10. Sinsel, S.R., Riemke, R.L., Hoffmann, V.H.: Challenges and solution technologies for the integration of variable renewable energy sources—a review. Renew. Energy 145, 2271–2285 (2020)

    Article  Google Scholar 

  11. Burke, P.J., Widnyana, J., Anjum, Z., Aisbett, E., Resosudarmo, B., Baldwin, K.G.: Overcoming barriers to solar and wind energy adoption in two Asian giants: India and Indonesia. Energy Policy 132, 1216–1228 (2019)

    Article  Google Scholar 

  12. Phadke, A., Park, W.Y., Abhyankar, N.: Providing reliable and financially sustainable electricity access in India using super-efficient appliances. Energy Policy 132, 1163–1175 (2019)

    Article  Google Scholar 

  13. Yang, D., Dong, Z.: Operational photovoltaics power forecasting using seasonal time series ensemble. Sol. Energy 166, 529–541 (2018)

    Article  Google Scholar 

  14. Kolekar, K.A., Hazra, T., Chakrabarty, S.N.: Prediction of municipal solid waste generation for developing countries in temporal scale: a fuzzy inference system approach. Glob. NEST J. 19, 511–520 (2017)

    Article  Google Scholar 

  15. Wang, Y.: An integrative process mining approach to mine discrete event simulation model from event data (2018)

    Google Scholar 

  16. Jiang, F., Yang, X., Li, S.: Comparison of forecasting India’s energy demand using an MGM, ARIMA model, MGM-ARIMA model, and BP neural network model. Sustainability 10, 2225 (2018)

    Article  Google Scholar 

  17. Rahman, H., Selvarasan, I., Begum A.J.: Short-term forecasting of total energy consumption for India—a black box based approach. Energies 11, 3442 (2018)

    Google Scholar 

  18. Deb, C., Zhang, F., Yang, J., Lee, S.E., Shah, K.W.: A review on time series forecasting techniques for building energy consumption. Renew. Sustain. Energy Rev. 74, 902–924 (2017)

    Article  Google Scholar 

  19. Li, Z., Khajepour, A., Song, J.: A comprehensive review of the key technologies for pure electric vehicles. Energy 182, 824–839 (2019)

    Article  Google Scholar 

  20. Ashik, A.M., Kannan, K.S.: Time series model for stock price forecasting in India. In: Logistics, Supply Chain and Financial Predictive Analytics, pp. 221–231. Springer, Berlin (2019)

    Google Scholar 

  21. Gupta, G.: Mid term forecasting of solar power generation in India: a statistical approach (2020)

    Google Scholar 

  22. Mahanta, N., Talukdar, R.: Forecasting of electricity consumption in Assam by using mathematical and time series models and comparison of their predictive performances. J. Math. Comput. Sci. 11, 1687–1703 (2021)

    Google Scholar 

  23. Chatterjee, S., Sarkar, A., Chatterjee, S., Karmakar, M., Paul, R.: Studying the progress of COVID-19 outbreak in India using SIRD model. Indian J. Phys. 1–17 (2020)

    Google Scholar 

  24. Jat, H.S., Jat, R.D., Nanwal, R.K., Lohan, S.K., Yadav, A.K., Poonia, T., Sharma, P.C., Jat, M.L.: Energy use efficiency of crop residue management for sustainable energy and agriculture conservation in NW India. Renew. Energy 155, 1372–1382 (2020)

    Article  Google Scholar 

  25. Das, M., Singh, M.A.K., Biswas, A.: Techno-economic optimization of an off-grid hybrid renewable energy system using metaheuristic optimization approaches—case of a radio transmitter station in India. Energy Convers. Manag. 185, 339–352 (2019)

    Article  Google Scholar 

  26. Adedoyin, F.F., Gumede, M.I., Bekun, F.V., Etokakpan, M.U., Balsalobre-Lorente, D.: Modelling coal rent, economic growth and CO2 emissions: does regulatory quality matter in BRICS economies? Sci. Total Environ. 710, 136284 (2020)

    Google Scholar 

  27. Oh, T.H., Hasanuzzaman, M., Selvaraj, J., Teo, S.C., Chua, S.C.: Energy policy and alternative energy in Malaysia: issues and challenges for sustainable growth—an update. Renew. Sustain. Energy Rev. 81, 3021–3031 (2018)

    Article  Google Scholar 

  28. Khosla, R., Sircar, N., Bhardwaj, A.: Energy demand transitions and climate mitigation in low-income urban households in India. Environ. Res. Lett. 14, 095008 (2019)

    Google Scholar 

  29. Vishnupriyan, J., Manoharan, P.S.: Multi-criteria decision analysis for renewable energy integration: a southern India focus. Renew. Energy 121, 474–488 (2018)

    Article  Google Scholar 

  30. Jha, S.K., Puppala, H.: Prospects of renewable energy sources in India: prioritization of alternative sources in terms of energy index. Energy 127, 116–127 (2017)

    Article  Google Scholar 

  31. Praveen, B., Erramshetty, S., Ankem, V.M., Amme, R., Mamidipall, S.: Need of renewable energy sources and energy demand in India 2040: a case study. Int. J. Adv. Res. Eng. Technol. 11 (2020)

    Google Scholar 

  32. Bidoglio, G., Berger, M., Finkbeiner, M.: An environmental assessment of small hydropower in India: the real costs of dams’ construction under a life cycle perspective. Int. J. Life Cycle Assess. 24, 419–440 (2019)

    Article  Google Scholar 

  33. Prema, E., Rajavenkatesan, P.R.L.: Solar power transforming the face of rural India: climate justice for all. In: IOP Conference Series: Earth and Environmental Science, p. 012010. IOP Publishing (2020)

    Google Scholar 

  34. Kumar, D.: Satellite-based solar energy potential analysis for southern states of India. Energy Rep. 6, 1487–1500 (2020)

    Article  Google Scholar 

  35. Ali, J.A., Kolo, K., Khaksar Manshad, A., Stephen, K.D.: Low-salinity polymeric nanofluid-enhanced oil recovery using green polymer-coated ZnO/SiO2 nanocomposites in the Upper Qamchuqa Formation in Kurdistan Region, Iraq. Energy Fuels 33, 927–937 (2019)

    Article  Google Scholar 

  36. Anwar, K., Deshmukh, S.: Parametric study for the prediction of wind energy potential over the southern part of India using neural network and geographic information system approach. Proc. Inst. Mech. Eng. Part J. Power Energy 234, 96–109 (2020)

    Google Scholar 

  37. Peters, J.L., Remmers, T., Wheeler, A.J., Murphy, J., Cummins, V.: A systematic review and meta-analysis of GIS use to reveal trends in offshore wind energy research and offer insights on best practices. Renew. Sustain. Energy Rev. 128, 109916 (2020)

    Google Scholar 

  38. Chambon, C.L., Karia, T., Sandwell, P., Hallett, J.P.: Techno-economic assessment of biomass gasification-based mini-grids for productive energy applications: the case of rural India. Renew. Energy 154, 432–444 (2020)

    Article  Google Scholar 

  39. Bhatia, R.K., Ramadoss, G., Jain, A.K., Dhiman, R.K., Bhatia, S.K., Bhatt, A.K.: Conversion of waste biomass into gaseous fuel: present status and challenges in India. Bio Energy Res. 13, 1046–1068 (2020)

    Google Scholar 

  40. Singh, M.: Forecasting of waste-to-energy system: a case study of Faridabad, India. Energy Sources Part Recovery Util. Environ. Eff. 42, 319–328 (2020)

    Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Engineering, NIT Arunachal Pradesh, Papum Pare, Arunachal Pradesh, 791112, India

    Tapas Kumar Benia, Subhadip Goswami & Abhik Banerjee

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  1. Tapas Kumar Benia
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  2. Subhadip Goswami
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  3. Abhik Banerjee
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Corresponding author

Correspondence to Abhik Banerjee .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Arunachal Pradesh (NITAP), Itanagar, Arunachal Pradesh, India

    Deepak Gupta

  2. Department of Computer Science and Engineering, National Institute of Technology Arunachal Pradesh (NITAP), Itanagar, Arunachal Pradesh, India

    Koj Sambyo

  3. School of Computer Science, Faculty of Engineering and IT, University of Technology, Sydney, NSW, Australia

    Mukesh Prasad

  4. Department of Information Technology, Indian Institute of Information Technology (IIIT), Allahabad, Uttar Pradesh, India

    Sonali Agarwal

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Benia, T.K., Goswami, S., Banerjee, A. (2022). Application of SPSS for Forecasting of Renewable Energy as Future Energy in India. In: Gupta, D., Sambyo, K., Prasad, M., Agarwal, S. (eds) Advanced Machine Intelligence and Signal Processing. Lecture Notes in Electrical Engineering, vol 858. Springer, Singapore. https://doi.org/10.1007/978-981-19-0840-8_28

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