wind-speed-markov-model

Wind speed prediction using a 3-state Markov chain and statistical validation in R

🌬 Wind Speed Forecasting using Markov Chains

A stochastic modeling project to analyze and predict wind speed transitions using a 3-state Markov Chain in R. Data sourced from Bengaluru's half-hourly wind measurements.

🌀 Key Features

• State definitions: Light, Moderate, Strong
• Markov Chain TPM calculation
• Multi-step transition analysis
• Stationary distributions
• State-wise statistics (mean, skewness, MGF)

📊 Methods Used

• Markov Chains (Discrete-time)
• Descriptive & Exploratory Analysis
• Skewness, Kurtosis, Moments
• Probability Mass Functions

🧰 Tools

• R, base + visualization packages
• CSV preprocessing in Excel

📁 Folder Layout

report/ → Full PDF write-up data/ → Wind data in CSV r/ → Scripts for modeling & visualization

shell Copy Edit

📜 Academic Info

By Praisie Jemimah & Nikitha
For STAT 423: Stochastic Processes, Pondicherry University