You will get Load forecasting using machine learning
Project details
I am currently engaged in a research project focused on load forecasting for six university campuses across Malaysia. The goal is to develop an accurate and efficient forecasting model that can predict energy consumption patterns, helping universities optimize their energy management strategies and reduce operational costs.
Scope: The project encompasses six university campuses with diverse energy consumption profiles. These campuses vary in size, function, and energy needs, making the forecasting task both complex and challenging.
Objective: The primary objective is to create a reliable load forecasting model that can predict energy consumption on a daily, weekly, and monthly basis. This model will be instrumental in aiding campus facilities management to plan energy usage more effectively, integrate renewable energy sources, and implement energy-saving initiatives.
Scope: The project encompasses six university campuses with diverse energy consumption profiles. These campuses vary in size, function, and energy needs, making the forecasting task both complex and challenging.
Objective: The primary objective is to create a reliable load forecasting model that can predict energy consumption on a daily, weekly, and monthly basis. This model will be instrumental in aiding campus facilities management to plan energy usage more effectively, integrate renewable energy sources, and implement energy-saving initiatives.
Machine Learning Tools
Keras, NumPy, pandas, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 30 days |
Number of Revisions | 2 | 2 | 2 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 4 | 8 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Graph/Chart
(+ 1 Day)
+$5About Muhammad Zulhamizan
AI & Machine Learning | Neural Network, Network Engineering, Python
Shah Alam, Malaysia - 9:25 pm local time
Passionate about machine learning, software engineering, and data
science. Committed to continuous learning and seeking opportunities
to apply technical skills in innovative and impactful projects.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Zulhamizan can start the project.
Delivery time starts when Muhammad Zulhamizan receives requirements from you.
Muhammad Zulhamizan works on your project following the steps below.
Revisions may occur after the delivery date.
Project Planning and Scope Definition
Objective Setting: Clearly define the objectives of the project, including the expected outcomes, timelines, and key performance indicators (KPIs).
Data Collection and Preprocessing
The client can specify where I can get the data or what data should I use