Prof Mohan Kolhe retweeted
Open-source PDF ebook >> “Reinforcement Learning — Mathematics and Algorithms from MDPs to RLHF, InstructGPT, and DeepSeek-R1, with Python”
Available at github.com/dipeshgautam2012/…
And here: zenodo.org/records/23996511
Prof Mohan Kolhe retweeted
We are offering free and priority access (including for commercial applications) to our national river flow datasets to researchers, NGOs, consultancies, and Indian startups. Please fill this form: forms.gle/62YVnFPSvbAw6ziZ7
ILDAS-Flows is a high-resolution streamflow reanalysis product developed using the Indian Land Data Assimilation System (ILDAS), an integrated hydrologic–hydrodynamic modeling framework for the rivers and floodplains of the Indian subcontinent. Built on a 12 m river network, it provides daily streamflow estimates from 1948 to 2022 in 500,000+ river reaches, assimilating gauge observations from over 200 discharge stations through a Localized Ensemble Kalman Filter (LEnKF). For each river reach, the dataset includes daily discharge, annual maximum discharge and its date of occurrence, 2- to 100-year return-period flood estimates, flood seasonality indices, and fitted flood frequency distribution parameters. Reach metadata include reach and downstream reach identifiers, stream order, upstream drainage area, reach length, slope, coordinates and basin name.
ILDAS: hydrosense.gitbook.io/ildas
HydroSense Lab: hydrosense.iitd.ac.in/
ILDAS-Flows is provided “as is,” without warranties or liability for its use, and must not be relied upon for critical decisions without independent verification and expert assessment.
Prof Mohan Kolhe retweeted
[Download 585-page PDF eBook]
Game Theory: arxiv.org/abs/1512.06808
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#GameTheory #Gamification #Mathematics #Statistics #Probability
Prof Mohan Kolhe retweeted
Hands-On Mathematical Optimization with Python: amzn.to/4b3VADe
“…presents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to convex optimization and optimizations under uncertainty. The book's Python code snippets, alongside more than 50 Jupyter notebooks on the author's GitHub, allow students to put the theory into practice and solve problems inspired by real-life challenges.”
Honoured to be recognised by ScholarGPS as a 2026 Highly Ranked Scholar – Lifetime in Energy. Heartfelt thanks to my valued collaborators, colleagues and students for your trust, teamwork and shared commitment to research that advances clean energy and a sustainable society. @ScholarGPS #Energy #GreenHydrogen #Solar #SDGs
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Delighted to deliver an online keynote lecture on 20.10.2026 at the joint ITPES 2026 & AEMDS 2026 conferences in Glasgow, UK. Keynote: Green Hydrogen – Integrated Renewable Energy System. #GreenHydrogen #RenewableEnergy #EnergySystems #ITPES2026 #AEMDS2026 #SDG17
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Prof Mohan Kolhe retweeted
“Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares”
473-page PDF download here: web.stanford.edu/~boyd/vmls/…
Prof Mohan Kolhe retweeted
Python Libraries for Data Analysis and Machine Learning — Download the 64-page PDF lecture slides here: dropbox.com/scl/fi/eymgbfozk…
Prof Mohan Kolhe retweeted
Time series analysis is a fundamental aspect of machine learning, particularly in industries where forecasting future trends is crucial. pyoflife.com/machine-learnin…
#DataScience #machinelearning #RStats #datascientists #statisticalanalysis #ArtificialIntelligence #codinglife
Prof Mohan Kolhe retweeted
A guide to Financial Analysis in Excel
Learn everything you need to know
Do you want to receive it?
1. Like this post
2. Comment "send" below
3. Get immediate access
Grateful to be recognized continuously among the world’s Top 2% Scientists in the Elsevier/Stanford career-long assessment. Based on research performance through 2025, my (@mpkolhe of @uiagder) current career ranking places me among the top ~0.6% of Energy researchers worldwide (≈99.4th percentile, excluding self-citations).
Thankful to my students, colleagues, collaborators and mentors across the world. 🙏
Continuing the journey toward a cleaner, smarter and more sustainable energy future.
Source: Elsevier Data Repository, Version 9 — DOI: 10.17632/btchxktzyw.9
@ElsevierConnect
#ResearchImpact #RenewableEnergy #GreenHydrogen #SmartGrid #SustainableEnergy
Prof Mohan Kolhe retweeted
✨ #HighlyCitedPaper Mechanisms and Modelling of Effects on the Degradation Processes of a #ProtonExchangeMembrane (PEM) #FuelCell: A Comprehensive Review
👉 brnw.ch/21x6a6L
#PEMFuelCell #DegradationProcesses #VehicleLoadMode #Modelling
#mdpienergies #openaccess
Prof Mohan Kolhe retweeted
[461-page PDF eBook] Physics-based Deep Learning: arxiv.org/abs/2109.05237
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Learn more at: physicsbaseddeeplearning.org…
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#AI #MachineLearning #ML #DataScience #NeuralNetworks #Algorithms #Mathematics #DataScientist
Prof Mohan Kolhe retweeted
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques — A Data Science Guide: amzn.to/2rIXpyQ
On Gandhi Jayanti, let us advance Urja Swaraj through decentralized renewables, green hydrogen, EV mobility, solar water pumps for rural prosperity.
ऊर्जा स्वराज • स्वदेशी शोध • ग्राम स्वराज 🇮🇳
@SwadeshiShodh @Swadeshi_Media #GandhiJayanti #UrjaSwaraj #RuralDevelopment #Swadeshi
🤖 Made with AI
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⚡🚗 Can fast EV charging grow without compromising grid reliability?
A new study proposes a hybrid GWOPSO framework integrating EV charging, solar PV & BESS to improve grid performance and reliability.
📖 brnw.ch/21x616A
#EVCharging #SmartGrid #ElectricVehicles #WEVJ
Prof Mohan Kolhe retweeted
Stop spending thousands on Financial Modelling courses
This guide gives you the practical knowledge needed to build your own financial models with confidence
Here’s what you’ll learn 👇
• How to design structured and error-free financial models in Excel
• The difference between inputs, calculations, and outputs in model building
• How to use sensitivity analysis, scenarios, and risk modelling for decision-making
• Key corporate finance concepts like valuation, WACC, forecasting, and cash flow analysis
• How Excel tools like Solver, Goal Seek, validation, and macros improve financial models
• Best practices for testing, documenting, and protecting spreadsheet models


























