Load Forecasting Analyst
Profile Code: AL-AUT-03
- ₹7.5 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: Time series forecasting and statistical analysis | Machine learning for demand prediction | Energy load modeling and simulation | Data analysis using Excel, SQL, Python, and Power BI | Peak load management and demand response strategies | Understanding of industrial energy systems in manufacturing and EV charging | Renewable energy integration and grid balancing concepts | Data visualization and reporting for energy insights | Forecast accuracy tracking and model optimization | Cross-functional coordination with operations and utilities teams
Overview Video
About This Course
A Load Forecasting Analyst in the automobile, auto components, and EV industry focuses on predicting energy and operational load requirements to support efficient production and infrastructure planning. This course equips learners with the skills to analyze historical usage data, identify demand patterns, and build forecasting models for electricity and resource consumption. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for analysis and reporting. The program emphasizes demand forecasting, trend analysis, and scenario-based planning in energy-intensive manufacturing and EV ecosystems. Learners will understand how to optimize load management, reduce energy costs, and ensure reliable operations. By the end of the course, they are prepared for roles in energy and operations analytics, with career progression into energy planning, operations strategy, and infrastructure management positions.
Course Content
4 modules · 12 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Load Forecasting Analysts in the Automobile, Auto Components, and EV industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, load forecasting models, energy demand analysis, charging station utilization, trend analysis, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, forecasting reports, variance analysis, capacity planning, and interactive dashboards to analyze load patterns, improve forecasting accuracy, optimize energy resources, and support data-driven operational decisions.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Load Forecasting Analysts in the Automobile, Auto Components, and EV industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, load forecasting dashboards, energy consumption analysis, charging infrastructure monitoring, demand trend analysis, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, forecasting visualization, performance monitoring, compliance reporting, capacity planning, and business intelligence techniques to transform operational and energy data into actionable insights for accurate forecasting and strategic decision-making.
SQL Course
The **SQL Course** covers basic to advanced database concepts for Load Forecasting Analysts in the Automobile, Auto Components, and EV industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, load data extraction, energy consumption analysis, charging station analytics, forecasting data preparation, performance reporting, data validation, and large dataset management to retrieve, transform, and analyze operational data for accurate load forecasting and business planning.
Service Systems Course
The **Service Systems Course** covers basic to advanced concepts for Load Forecasting Analysts in the Automobile, Auto Components, and EV industry, including service management fundamentals, EV charging infrastructure operations, asset and network monitoring, service request management, incident and ticket management, preventive maintenance scheduling, resource allocation, capacity planning, SLA management, workflow automation, service performance monitoring, demand response coordination, outage tracking, system reliability, operational reporting, customer service analytics, integration with enterprise systems, compliance monitoring, and service optimization techniques to improve operational efficiency, forecasting accuracy, and reliable energy service delivery.
Key Responsibilities
- Monitor and analyze historical energy consumption patterns across plants and EV infrastructure
- Develop short-term and long-term load forecasting models for manufacturing and charging demand
- Use statistical and machine learning techniques to improve forecast accuracy
- Support peak load management and demand response strategies
- Coordinate with operations, production, and utilities teams for demand inputs
- Analyze seasonality, production schedules, and EV charging behavior impact on load
- Provide insights for energy procurement and cost optimization
- Track deviations between forecasted and actual load and refine models
- Support integration of renewable energy and grid balancing strategies
- Prepare MIS reports and dashboards for load planning and energy management
Growth Path
Tools Used
Perfect For
Energy and operations professionals in automobile, auto components, and EV sectors | Electrical, mechanical, and energy engineering graduates | Data science and analytics professionals interested in energy demand forecasting | Candidates aiming for roles in energy planning, utilities, or grid management | Freshers and early-career engineers exploring smart energy and load optimization roles | Professionals transitioning into forecasting, energy analytics, or smart grid operations
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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