1. Introduction
  1.1 Background
  1.2 Motivation
  1.3 Objectives
2. Literature Review
  2.1 Energy Efficiency in Data Centers
  2.2 Predictive Analytics for Resource Management
  2.3 Machine Learning Models for Energy Consumption Prediction
3. Data Collection and Preprocessing
  3.1 Energy Usage Data
  3.2 Environmental Sensor Data
  3.3 Workload and Performance Metrics
4. Predictive Model Development
  4.1 Time Series Analysis and Forecasting
  4.2 Regression Models for Energy Prediction
  4.3 Anomaly Detection and Fault Diagnosis
5. Energy Management System Design
  5.1 Dynamic Resource Allocation Strategies
  5.2 Cooling System Optimization