|
Alderman, H. & Haque, T. (2007). Insurance against covariate shocks-the role of index-based insurance in social protection in lower income countries of Africa, Working paper, The World Bank, Washington, DC, USA. Allen, L. & Jagtiani, J. (2000). The risk effects of combining banking, securities, and insurance activities. Journal of Economics and Business, 52, 485–497. Alternative Energy Stocks. (2018). How weather risk transfer can help wind & solar development, http://www.altenergystocks.com/archives/2018/06/how-weather-risk-transfer-can-help-wind-solar-development/. Accessed date: August 9, 2021. Bandyopadhyay, A., Bhadra, A., Raghuwanshi, N. S. & Singh, R. (2008). Estimation of monthly solar radiation from measured air temperature extremes, Agricultural and Forest Meteorology, 148(11), 1707–1718. Bansal, R., Bati, T. S. & Kothari, D. P. (2002). On some of the design aspects of wind energy conversion systems. Energy Conversion and Management, 43, 2175–2187. Barnett, B. J. & Mahul, O. (2007). Weather insurance index for agriculture and rural areas in lower income countries, American Journal of Agricultural Economics, 89(5), 1241–1247. Barnett, B. J., Barrett, C. B. & Skees, J. R. (2008). Poverty traps and index-based risk transfer products, World Development, 36(10), 1766–1785. Barthelmie, R. J., Pryor, S. C., Frandsen, S. T., Hansen, K. S., Schepers, J. G., Rados, K., Schlez, W., Neubert, A., Jensen, L. E. & Neckelmann, S. (2010). Quantifying the impact of wind turbine wakes on power output at offshore wind farms, Journal of Atmospheric and Oceanic Technology, 27, 1302–1317. Behera, M. K., Majumder, I. & Nayaka, N. (2018). Solar photovoltaic power forecasting using optimized modified extreme learning machine technique, Engineering Science and Technology, an International Journal, 21(3), 428–438. Borgonovoa, E., Gattib, S. & Peccatia, L. (2010). What drives value creation in investment projects? An application of sensitivity analysis to project finance transactions, European Journal of Operational Research, 205(1), 227–236. Box, G. E. P., Jenkins, G. M. & Reinsel, G. C. (1994). Time series analysis: Forecasting and control, 3rd ed., Englewood Cliffs: Prentice-Hall, NJ, USA. Brustedt, G., Bokusheva, R. & Heidelbach, O. (2008). Evaluating the potential of index insurance schemes to reduce crop yield risk in an arid region, Journal of Agricultural Economics, 59(2), 312–328. Calif, R. & Schmitt, F. (2012). Modeling of atmospheric wind speed sequence using a lognormal continuous stochastic equation, Journal of Wind Engineering and Industrial Aerodynamics, 109, 1–8. Carter, M., Janvry, A. D., Sadoulet, E. & Sarris, A. (2014). Index-based weather insurance for developing country: A review of evidence and a set of propositions for up-scaling, Working paper, Fondation Pour les études et Recherches sur le Développement International (FERDI), Clermont-Ferrand Cedex, France. Carter, M., Janvry, A. D., Sadoulet, E. & Sarris, A. (2017). Index insurance for developing country agriculture: A reassessment, Annual Review of Resource Economics, 9, 421–438. Carter, M., Janvry, A. D., Sadoulet, E. & Sarris, A. (2014). Index-based Weather Insurance for Developing Country: A Review of Evidence and A Set of Propositions for Up-scaling, Working paper. Fondation Pour les études et Recherches sur le Développement International. Chang, H. W., Maa, M. J. & Lin, M. C. (2017). Comparative analysis of wave weather windows in operation and maintenance of offshore wind farms at Hsinchu and Changhua, Taiwan, Journal of Marine Science and Technology, 25(5). Chantarat, S., Barrett, C. B., Mude, A. G. & Turvey, C. G. (2007). Using weather index insurance to improve drought response for famine prevention, American Journal of Agricultural Economics, 89(5), 1262–1268. Chantarat, S., Mude, A. G., Barrett, C. B. & Carter, M. M. (2013). Designing index-based livestock insurance for managing asset risk in Northern Kenya, The Journal of Risk and Insurance, 80, 205–237. Charabi, Y., Gastli, A. & Al-Yahyai, S. (2016). Production of solar radiation bankable datasets from high-resolution solar irradiance derived with dynamical downscaling numerical weather prediction model, Energy Reports, 2, 67–73. Clement, K. Y., Botzen, W. W., Brouwer, R. & Aerts, J. C. (2018). A global review of the impact of basis risk on the functioning of and demand for index insurance, International Journal of Disaster Risk Reduction, 28, 845–853. Coimbra, C., Kleissl, J. & Marquez, R. (2013). Chapter 8, Overview of solar-forecasting methods and a metric for accuracy evaluation. In: Kleissl, J. (Ed.), Solar Energy Forecasting and Resource Assessment, Academic Press, San Francisco, USA. Dalhaus, T. & Finger, R. (2016). Can gridded precipitation data and phenological observations reduce basis risk of weather index-based insurance? Weather, Climate and Society, 8(4), 409–419. Dalhaus, T., Musshoff, O. & Finger, R. (2018). Phenology information contributes to reduce temporal basis risk in agricultural weather index insurance, Scientific Reports, 8, 46. De Wit, A. J. & Van Diepen, C. A. (2008). Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs, International Journal of Applied Earth Observation and Geoinformation, 10, 414–425. Dick, W., Stoppa, A., Anderson, J., Coleman, E. & Rispoli, F. (2011). Weather index-based insurance in agriculture development a technical guide, International Fund for Agricultural Development (IFAD), Rome, Italy. Diebold, F. X. (2007). Elements of forecasting, 4th ed., Cincinnati: South-Western. Dinwoodie, I. A., Catterson, V. M. & McMillan, D. (2013). Wave height forecasting to improve offshore access and maintenance scheduling, IEEE Power & Energy Society General Meeting, 2013. Dobos, A., Gilman, P. & Kasberg, M. (2012). P50/P90 analysis for solar energy systems using the system advisor model, Conference paper, World Renewable Energy Forum, Denver, CO, USA. Figueroa-Acevedo, A. L. & Irizarry-Rivera, A. A. (2014). Variability assessment of solar and wind resources in Puerto Rica, International Conference on Probabilistic Methods Applied to Power Systems (PAMPS), 1–6. Garcia-Bernabeu, A., Mayor-Vitoria, F. & Mas-Verdu, F. (2015). Project finance recent applications and future trends: The state of the art, International Journal of Business and Economics, 14(2), 159–178. Gatti, S. (2019). Project finance in theory and practice: Designing, structuring, and financing private and public projects, Third Edition, Academic Press, MA, USA. Gatzert, N. & Kosub, T. (2016). Risks and risk management of renewable energy projects: The case of onshore and offshore wind parks, Renewable and Sustainable Energy Reviews, 60, 982–998. Gbémou, S., Eynard, J., Thil, S., Guillot, E. & Grieu, S. (2021). A comparative study of machine learning-based methods for global horizontal irradiance forecasting, Energies, 14, 3192. Ghofrani, M. & Alolayan, M. (2018). Chapter 6, Time series and renewable energy forecasting, Time Series Analysis and Applications, IntechOpen Limited, London, UK. Giné, X., Townsend, R. & Vickery, J. (2007). Statistical analysis of rainfall insurance payouts in Southern India, American Journal of Agricultural Economics, 89(5), 1248–54. Graham, C. (1982). The parameterization and prediction of wave height and wind speed persistence, Coastal Engineering, 6, 303–329. Gueymard, C. A. (2014). A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects, Renewable and Sustainable Energy Reviews, 39, 1024–1034. Hazel, P., Anderson, J., Balzer, N., Clemmensen, A. H., Hess, L. I. & Rispoli, F. (2010). The Potential for Scale and Sustainability in Weather Index Insurance for Agriculture and Rural Livelihood. International Fund for Agricultural Development and World Food Programme. Hess, U., Richter, K. & Stoppa, A. (2002). Weather risk management for agriculture and agri-business in developing countries. Climate risk and the weather market, Financial Risk Management with Weather Hedges, Risk Books, London, UK. HSB. (2020). Energy Shortfall Insurance, https://www.munichre.com/hsb/en/products/commercial-lines-agents-and-brokers/energy-insurance/energy-shortfall-insurance.html. Accessed date: August 9, 2021. Hyndman, R. J. & Fan, Y. (1996). Sample quantiles in statistical packages, American Statistician 50, 361–365. Iturrioz, R. (2009). Agricultural insurance, Primer series on insurance issue, The World Bank, Washington, DC, USA. Janvry, A. de & Sadoulet, E. (2011). From Indemnity, Index-based, and Group Weather Insurance Contracts. Policy Brief Note 25. Fondation Pour les études et Recherches sur le Développement International. Jerez, S., Tobin, I., Vautard, R., Monta´vez, J. P., Lo´pez-Romero, J. M. ,Thais, F., Bartok, B., Christensen, O. B., Colette, A., De´que´, M., Nikulin, G., Kotlarski, S., Meijgaard, E., Teichmann, C. & Wild, M. (2015). The impact of climate change on photovoltaic power generation in Europe, Nature Communications, 6, 10014. Jordan, D. C. & Kurtz, S. R. (2014). Reliability and geographic trends of 50,000 photovoltaic systems in the USA, Conference paper, The National Renewable Energy Laboratory, CO, USA. Judgea, F., McAuliffea, F. D., Sperstadb, I. B., Chestera, R., Flannerya, B., Lyncha, K. & Murphy, J. (2019). A lifecycle financial analysis model for offshore wind farms, Renewable and Sustainable Energy Reviews, 103, 370–383. Jung, C. & Schindler, D. (2018). On the inter-annual variability of wind energy generation – A case study from Germany. Applied Energy, 230, 845–854. Kaplanis, S. & Kaplani, E. (2007). A model to predict expected mean and stochastic hourly global solar radiation I(h;n_j) values, Renewable Energy, 32(8), 1414–1425. Karlan, D. & Morduch, J. (2010). “Access to Finance.” Chapter 2 in Dani Rodrik and Mark Rosenzweig, eds., Handbook of Development Economics, vol. 5. Amsterdam: North Holland. Kleissl, J. (2013). Solar energy forecasting and resource assessment, 1st ed., Academic Press: Waltham, MA, USA. Langella, R., Proto, D. & Testa, A. (2014). A statistical model of solar radiation daily variability, International Conference on Probabilistic Methods Applied to Power Systems (PAMPS), 1–6. Laveyne, J. I., Bozalakov, D., Eetvelde, G.V. & Vandevelde, L. (2020). Impact of solar panel orientation on the integration of solar energy in low-voltage distribution grids, International Journal of Photoenergy. Leblois, A. & Quirion, P. (2013). Agricultural insurances based on meteorological indices: Realizations, methods and research challenges, Meteorological Applications, 20, 1–9. Li, D. H. W. & Lam, T. N. T. (2007). Determining the optimum tilt angle and orientation for solar energy collection based on measured solar radiance data, International Journal of Photoenergy. Liao, S. C., Chang, S. C. & Cheng, T. C. (2021). Managing the volatility risk of renewable energy: Index insurance for offshore wind farms in Taiwan, Sustainability, 13, 8985. Liao, S. C., Chang, S. C. & Cheng, T. C. (2022). Index-based renewable energy insurance for Taiwan solar photovoltaic power plants, Risk Management and Insurance Review, 25, 145–172. Lowder, T., Mendelsohn, M. & Speer, B. (2013). Continuing developments in PV risk management: Strategies, solutions, and implications, Technical report, National Renewable Energy Laboratory, USA. Lumby, B. (2015). A project developer’s guide to utility-scale solar photovoltaic power plants, International Finance Corporation, World Bank Group, Washington, DC, USA. Mahul, O. & Skees, J. (2007). Managing agricultural risk at the country level: The case of index-based livestock insurance in Mongolia, Working paper, Washington, DC: The World Bank. Manuamorn, O. P. (2005). Scaling up microinsurance: The case of weather insurance for smallholders in India, Agriculture and rural development discussion paper, The World Bank, Washington, DC, USA. Martins, D., Muraleedharan, G. & Soares, C. G. (2015). Weather window analysis of a site off Portugal, Maritime Technology and Engineering, Taylor & Francis Group, UK, pp. 1329–1337. Matsui, R., Moore, J., Nunalee, C., Garcia da Fonseca, L., Vadhavkar, N., Crimmins, J., Dise, S., Ahmad, J., Gregory, I., Fort, J. & Corbitt, J. (2021). Solar Risk Assessment: 2020, kWh Analytics, CA, USA. Miranda, M. J. (1991). Area-yield crop insurance reconsidered, American Journal of Agricultural Economics, 73, 233–242. Mora, E. B., Spelling, J., Weijde, A. H. & Pavageau, E. (2019). The effects of mean wind speed uncertainty on project finance debt sizing for offshore wind farms, Applied Energy, 252, 113419. Morduch, J. (2006). Micro-insurance: The next revolution?, A. Banerjee, R. Benabou, D. Mookherjee (Eds.), What have we learned about poverty?, Oxford University Press, Oxford and New York. Ortega, C., Younes, A., Severy, M., Chamberlin, C. & Jacobson, A. (2020). Resource and load compatibility assessment of wind energy offshore of Humboldt county, California, Energies, 13, 1–27. Osgood, D. & Shirley K. E. (2012). The value of information in index insurance for farmers in Africa. In: Laxminarayan R., Macauley M. (Eds), The Value of Information, Springer. Osgood, D., McLaurin, M., Carriquiry, M., Mishra, A., Fiondella, F., Hansen, J., Peterson, N. & Ward, N. (2007). Designing weather insurance contracts for farmers in Malawi, Tanzania and Kenya, Final report to the commodity risk management group, ARD, Washington, DC: The World Bank. Pacudan, R. (2016). Implications of applying solar industry best practice resource estimation on project financing, Energy Policy, 95, 489–497. Pelka, N. & Musshoff, O. (2013). Hedging effectiveness of weather derivatives in arable farming – Is there a need for mixed indices?, Agricultural Finance Review, 73(2), 358–372. Pelka, N. & Musshoff, O. (2013). Hedging effectiveness of weather derivatives in erable farming – Is there a need for mixed indices?, Agricultural Finance Review, 73, 358–372. Pinker, R.T., Frouin, R. & Li, Z. (1995). A review of satellite methods to derive surface shortwave irradiance, Remote Sensing of Environment, 51(1), 108–124. Polo, J., Téllezb, F. M. & Tapia, C. (2016). Comparative analysis of long-term solar resource and CSP production for bankability, Renewable Energy, 90, 38–45. Polzin, F., Egli, F., Steffen, B. & Schmidt, T. S. (2019). How do policies mobilize private finance for renewable energy?—A systematic review with an investor perspective, Applied Energy, 236, 1249–1268. Santos, F. P., Teixeira, A. P. & Soares, C. G. (2015). An age-based preventive maintenance for offshore wind turbines, Safety and Reliability: Methodology and Applications, UK: Taylor & Francis Group; pp. 1147–1155. Santos, F. P., Teixeira, A. P. & Soares, C. G. (2013). Maintenance planning of an offshore wind turbine using stochastic petri nets with predicates. Proc. 32nd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2013), Nantes, France, OMAE 2013–11639. Sen, R. & Bhattacharyyab, S. C. (2014). Off-grid electricity generation with renewable energy technologies in India: An application of HOMER, Renewable Energy, 62, 388–398. Skees, J. R. (2008). Innovation in index insurance for the poor in lower income countries, Agricultural and Resource Economics Review, 37(10), 1–15. Skees, J. R., Black, J. R. & Barnett, B. J. (1997). Designing and rating an area-yield crop insurance contract, American Journal Agricultural Economics, 79, 430–438. Skees, J., Gober, S., Varangis, P., Lester, R. & Kalavakonda, V. (2001). Developing rainfall-based index insurance in Morocco, Policy research working papers, Washington, DC: The World Bank. Skees, J. R. (2008). Innovation in index insurance for the poor in lower income countries, Agricultural and Resource Economics Review, 37, 1–15. Skees, J. R., Black, J. R. & Barnett, B. J. (1997). Designing and rating an area-yield crop insurance contract, American Journal Agricultural Economics, 79, 430–438. Steffen, B. (2018). The importance of project finance for renewable energy projects. Energy Economics, 69, 280–294. Stoffel, T., Renne, D., Myers, D., Wilcox, S., Sengupta, M., George, R. & Turchi, C. (2010). Concentrating solar power: Best practices handbook for the collection and use of solar resource data, National Renewable Energy Laboratory Technical Report NREL, Golden, CO, USA. Suh. J. & Choi, Y. (2017). Methods for converting monthly total irradiance data into hourly data to estimate electric power production from photovoltaic systems: A comparative study, Sustainability, 9, 1234. Tiwari, G. N. & Dubey, S. (2010). Fundamentals of Photovoltaic Modules and their Applications, Royal Society of Chemistry, Cambridge, UK. Tomaselli, P. D., Dixen, M., Sanchez, R. B. & Sørensen, J. T. (2021). A decision-making tool for planning O&M activities of offshore wind farms using simulated actual decision drivers, Frontiers in Marine Science, 7, 588624. Vahdatmanesh, M. & Firouzi, A. (2018). Price risk management in BOT railroad construction projects using financial derivatives, Journal of Financial Management of Property and Construction, 23(3), 349–362. Vedenov, D.V. & Barnett, B. J. (2004). Efficiency of weather derivatives as primary corp insurance instruments, Journal of Agricultural and Resource Economics, 29(3), 387–403. Vendrell, I., Korsakul, R., Verojporn, S., Smithtinand, P. & Indradesa, P. (2014). Solar PV technical guidelines for financiers, Techno-commercial risk mitigation for grid-connected PV systems in ASEAN, Deutsche Gesselchaft für Internationale Zusammenarbeit (GIZ) GmbH. Vignola, F., Grover, C., Lemon, N. & McMahan, A. (2012). Building a bankable solar radiation dataset, Solar Energy, 86(8), 2218–2229. Vrieling, A., Meroni, M., Shee, A., Mude, A. G., Woodard, J., de Bie, C. A. J. M. & Rembold, F. (2014). Historical extension of operational NDVI products for livestock insurance in Kenya, International Journal of Applied Earth Observation and Geoinformation, 28, 238–251. Westbrook, O. (2021). Your P values are wrong, IEEE 48th Photovoltaic Specialists Conference (PVSC), Virtual conference, pp. 2351-2356. Wijeratne, W. M. P. U, Yang, R. J., Too, E. & Wakefield, R. (2019). Design and development of distributed solar PV systems: Do the current tools work?, Sustainable Cities and Society, 45, 553–578. Wit, A. J. W. de & Diepen, C. A. van. (2008). Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs, International Journal of Applied Earth Observation and Geoinformation, 10, 414-425. Wu, Y. T. & Porte-Agél, F. (2015). Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm, Renewable Energy, 75, 945–955. Zurita, A., Mata-Torres, C., Cardemil, J. M., Guedez, R. & Escobar, R. (2021). Multi-objective optimal design of solar power plants with storage systems according to dispatch strategy, Energy, 237, 121627.
|