Publish Renewable Energy Market Papers
Budget: ₹1,500 – ₹12,500 INR
I am preparing a series of research papers on renewable-energy integration within India’s power markets and intend to submit them to ABDC or Scopus indexed journals. I will supply the core technical insights and an Excel dataset that captures market variables, generation mixes, policy changes and relevant time-series indicators.
Your role is to transform these inputs into publishable manuscripts. The scope covers three main tasks:
1. Literature review & gap analysis
• Compile and synthesise current Indian and global work on renewable integration, electricity-market design and associated policy.
• Identify clear research gaps that our data and modelling can address, citing high-impact sources.
2. Predictive modelling & results
• Clean and structure the spreadsheet data, choose suitable forecasting / machine-learning techniques, then build and validate models that answer the research questions.
• Present diagnostics, robustness checks and visualisations that meet journal standards.
3. Writing & submission-ready formatting
• Draft the full paper—introduction through conclusions—following the target journal’s style guide.
• Iterate with me on technical accuracy, incorporate reviewer-style comments and prepare tables, figures and references (Mendeley, Zotero or similar).
Acceptance criteria
• Literature review cites at least 40 peer-reviewed sources from the past five years.
• Model accuracy and validation metrics are reported transparently.
• Manuscript is formatted per selected journal template and ready for direct submission.
Proficiency with Excel data handling plus R, Python (pandas, scikit-learn) or equivalent analytics tools is essential, along with strong academic writing skills. If you have prior publications in power-sector journals, mention them when you respond; that will speed up our collaboration timeline.
Your role is to transform these inputs into publishable manuscripts. The scope covers three main tasks:
1. Literature review & gap analysis
• Compile and synthesise current Indian and global work on renewable integration, electricity-market design and associated policy.
• Identify clear research gaps that our data and modelling can address, citing high-impact sources.
2. Predictive modelling & results
• Clean and structure the spreadsheet data, choose suitable forecasting / machine-learning techniques, then build and validate models that answer the research questions.
• Present diagnostics, robustness checks and visualisations that meet journal standards.
3. Writing & submission-ready formatting
• Draft the full paper—introduction through conclusions—following the target journal’s style guide.
• Iterate with me on technical accuracy, incorporate reviewer-style comments and prepare tables, figures and references (Mendeley, Zotero or similar).
Acceptance criteria
• Literature review cites at least 40 peer-reviewed sources from the past five years.
• Model accuracy and validation metrics are reported transparently.
• Manuscript is formatted per selected journal template and ready for direct submission.
Proficiency with Excel data handling plus R, Python (pandas, scikit-learn) or equivalent analytics tools is essential, along with strong academic writing skills. If you have prior publications in power-sector journals, mention them when you respond; that will speed up our collaboration timeline.