Power sector investment risk and renewable energy: A Japanese case study using portfolio risk optimization method
By A. Bhattacharya, S. Kojima. 2012
163 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Pollution
View Paper: https://www.semanticscholar.org/paper/7ce21569e1de4efab195dc92d9e6f507a97273a2
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In Electrical and Electronic Engineering
In Pollution
Citations in the corpus
- Risk-based methods for sustainable energy system planning: a review (2017, unknown): “In studies employing MCS, the best fitting probability density function (PDF) assigned to the input variables is determined either by using historical data of the variable (statistical or experimental methods) [5], or by using subjective judgements (e.”
- Who invests in renewable electricity production? Empirical evidence and suggestions for further research (2013, methodology): “…D): RES-E investors either plan portfolios including different electricity production plants within a larger energy system (cf. Awerbuch, 2006; Bhattacharya and Kojima, 2012; Carlson, 2002) or invest in very large plants (cf. Faúndez, 2008; Muñoz et al., 2009; Söderholm et al., 2007); they…”
- Renewable energy diffusion in Asia: Can it happen without government support? (2013, background): “With thermal power accounting for 65% of supply, and with up to 100% of fossil fuels imported, the country faces an enormous energy security risk (Bhattacharya and Kojima, 2012), which it can reduce by investing in hydro and other grid-connectable renewables.”