You will get A custom Python ML/DL model for engineering & energy applications
Project details
I will develop a professional Python machine learning or deep learning model tailored to your engineering or energy system application.
I am a PhD-level Electrical Engineer and Assistant Professor with 10+ years of expertise in machine learning, time-series forecasting, anomaly detection, cyberattack detection, and power system modeling.
I can build ML models for:
• Energy forecasting (solar, wind, load)
• EV charging demand forecasting
• Power system fault detection
• DER and microgrid anomaly detection
• Cyber-attack detection in EVCS or smart grids
• Time-series classification & prediction
Models I can deliver:
• LSTM, GRU, Bi-LSTM
• CNN, 1D-CNN, hybrid models
• Random Forest, XGBoost, SVM
• Autoencoders for anomaly detection
• Federated learning (on request)
What you will receive:
• Clean Python code (TensorFlow/PyTorch/Scikit-learn)
• Preprocessing + feature engineering
• Model training + evaluation
• Plots (loss curves, predictions, confusion matrix, etc.)
Domains supported:
• Power systems
• Renewable energy
• EV charging
• Cyber-physical systems
• Industrial energy systems
I guarantee high-quality models, clear communication, and on-time delivery.
I am a PhD-level Electrical Engineer and Assistant Professor with 10+ years of expertise in machine learning, time-series forecasting, anomaly detection, cyberattack detection, and power system modeling.
I can build ML models for:
• Energy forecasting (solar, wind, load)
• EV charging demand forecasting
• Power system fault detection
• DER and microgrid anomaly detection
• Cyber-attack detection in EVCS or smart grids
• Time-series classification & prediction
Models I can deliver:
• LSTM, GRU, Bi-LSTM
• CNN, 1D-CNN, hybrid models
• Random Forest, XGBoost, SVM
• Autoencoders for anomaly detection
• Federated learning (on request)
What you will receive:
• Clean Python code (TensorFlow/PyTorch/Scikit-learn)
• Preprocessing + feature engineering
• Model training + evaluation
• Plots (loss curves, predictions, confusion matrix, etc.)
Domains supported:
• Power systems
• Renewable energy
• EV charging
• Cyber-physical systems
• Industrial energy systems
I guarantee high-quality models, clear communication, and on-time delivery.
Machine Learning Tools
ChatGPT, GitHub Copilot, Google Sheets, Keras, MATLAB, Microsoft Excel, MLflow, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$130
|
Standard
$250
|
Advanced
$460
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 2 | 3 | 5 |
Number of Scenarios | 2 | 3 | 6 |
Number of Graphs/Charts | 4 | 7 | 10 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200About Arif
Assistant Professor, Electrical Engineer, ML/DL expert
Ruston, United States - 10:28 am local time
With 10+ years of experience using MATLAB/Simulink, Python, OPAL-RT, real-time HIL simulation, machine learning, and power system modeling, I help clients build accurate, reliable, and innovative engineering solutions.
I specialize in designing advanced models, algorithms, and simulations that solve real-world engineering problems, including:
🔌 POWER & ENERGY SYSTEMS
Microgrid design and simulation
Power system stability, fault studies, and protection
DER integration (solar, wind, ESS)
Load flow, short-circuit, and transient analysis
Volt/VAR optimization and forecasting
⚡ EV CHARGING & SMART GRID
EV charging station modeling (AC/DC fast charging)
Cybersecurity anomaly detection for EVCS
V2G/V2X control strategies
HIL testing using OPAL-RT or RTDS
🤖 AI & MACHINE LEARNING
Deep learning (LSTM, Bi-LSTM, GRU, CNN, Autoencoders)
Time-series forecasting (energy, load, PV, wind)
Physics-guided ML models
Federated learning frameworks
Anomaly and fault detection algorithms
🧪 SIMULATION & SOFTWARE EXPERTISE
MATLAB & Simulink (10+ years)
Python (TensorFlow, PyTorch, Scikit-learn)
PowerWorld, PSSE, PSCAD
OPAL-RT real-time simulation
Data preprocessing, feature engineering, and model optimization
⭐ What You Can Expect Working With Me
High-quality engineering models and simulations
Clear communication & on-time delivery
Academic-level precision with industry mindset
Clean, well-documented code
Support in interpreting results, writing reports, or publishing
⭐ Who I Work With
Universities & researchers
Power system engineers
EV charging startups
Renewable energy companies
Students needing guidance for projects/thesis
Anyone needing expert-level simulation or ML work
⭐ If your project involves engineering, AI, energy, EVs, or simulation — I can help you deliver it at the highest level.
Let’s bring your idea to life.
Send me a message and let’s get started!
Steps for completing your project
After purchasing the project, send requirements so Arif can start the project.
Delivery time starts when Arif receives requirements from you.
Arif works on your project following the steps below.
Revisions may occur after the delivery date.
Review client dataset & requirements
I analyze your dataset, project goals, and any instructions to ensure full clarity before starting.
Preprocess data & perform feature engineering
I clean the data, handle missing values, create useful features, and prepare it for model training.