An energy management system using big data analytics can help lower energy prices for commercial microgrids. Sensors can be installed on lights and ATMs to monitor energy consumption data. By analyzing this data, issues like lights running during the day or AC units left on after hours can be identified and corrective actions taken to reduce consumption. Predictive analytics can also determine which lights may need replacing or use the most electricity. This solution helped one company save 25-30% on energy costs and lower overhead by 9.48% in just one year.

1. Energy Management System

2. Problem Statement
• There is a growing advent of Microgrid
development Companies which aim at creating a
sustainable and economic ecosystem for energy
consumption.
• However, Rising Energy prices are a significant
deterrent to developing commercial microgrids.
• An efficient Energy Management System can
significantly lower Energy Prices.
• A Big Data Analytics Solution can effectively
monitor and analyze energy consumption, to
provide the user with deep insights that lead to
Energy Management.

3. Business Solution
• Let's assume there are certain Light poles and ATM
Machines in a particular locality which need to be
monitored for energy efficiency.
• These units can be fitted with sensors that collect data
about their daily energy consumption, repairs,
malfunctions, etc.
• By processing so much data about every power consuming
unit, the concerned party can easily implement corrective
measures to control energy consumption.

4. Data Insights
Real-Time Analytics
• Light units that are functioning during the day
• Air Conditioning Units are running inside ATM counters
beyond necessary hours.
Predictive Analytics
• Which light units will need to be replaced in near future
• Which light units will consume more electricity than others
Based on the result of this Analytics, this Solution can help a
Client take required actions to Reduce Energy Consumption

5. Business Benefit
By implementing such a solution, a Microgrid developer
company could reap the following benefits:
• Save 25-30% Energy in just one year.
• $10 Mn was saved regarding Energy Costs
• Overhead Costs for the company came down by 9.48%
The company now wishes to implement this solution over a
broader geographic base.