AI-Integrated Low-Code Smart Energy Grid Optimization and Load Prediction System
SHAPERS TALENT HIRE SERVICES PVT. LTD.Smart Grid TechnologyProject Objectives:
This project aims to develop an AI-powered smart grid monitoring platform using low-code tools integrated with predictive analytics APIs. The system forecasts electricity load patterns and generates automated grid optimization recommendations.
Project Tasks:
Integrate energy load prediction API.
Design simulated grid data ingestion module.
Implement AI-based load forecasting logic.
Configure automated overload alert workflows.
Build dashboards showing load distribution trends.
Develop optimization recommendation engine.
Conduct predictive accuracy testing.
Document integration architecture.
Present real-time load prediction demonstration.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Dashboard & Visualization DevelopmentPredictive Analytics & Machine Learning ConceptsLow-Code Platform DevelopmentData Integration & Real-Time Data HandlingEnergy Systems & Load Management Knowledge
