Oh no! Where's the JavaScript?
Your Web browser does not have JavaScript enabled or does not support JavaScript. Please enable JavaScript on your Web browser to properly view this Web site, or upgrade to a Web browser that does support JavaScript.
Articles

Project: Smart Energy Consumption Analysis and Alert System

Project: Smart Energy Consumption Analysis and Alert System Objective: Build a system using the Emporia Gen 3 Smart Home Energy Monitor to track, analyze, and optimize home energy usage. The system will notify users when energy usage exceeds specified thresholds, providing real-time insights via a dashboard and alerts via email/SMS.


Components and Tools:

  1. Hardware:

  2. Software/Platforms:

    • Python for data collection and processing
    • Flask/Django for the dashboard (or Node.js if preferred)
    • Emporia API (for retrieving energy monitor data)
    • Twilio API (for SMS notifications)
    • SMTP (for email notifications)
    • SQLite or MySQL for data storage
  3. Key APIs and Libraries:

    • requests
      (for interacting with the Emporia API)
    • pandas
      (for data analysis)
    • matplotlib
      /
      plotly
      (for data visualization)
    • Flask
      /
      Django
      (for building the web interface)

Steps to Build the Project:

  1. Setup Emporia Gen 3 Energy Monitor:

    • Install and configure the Emporia device according to the manufacturer’s instructions.
    • Register the device via the Emporia app and link it to your account.
  2. Access Emporia API:

    • Generate API credentials from the Emporia web portal or documentation.
    • Use these credentials to fetch real-time and historical energy usage data.
  3. Data Collection Script (Python):

    • Write a script to fetch data from the Emporia API at regular intervals.
    • Save the data to a database for analysis.
import requests
import sqlite3
import time

# Emporia API configuration
API_URL = "https://api.emporiaenergy.com/v1"
API_KEY = "your_emporia_api_key"

# Database setup
conn = sqlite3.connect("energy_data.db")
cursor = conn.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS energy_usage (
 timestamp TEXT,
 usage REAL
)
""")
conn.commit()

# Fetch data
def fetch_energy_data():
 headers = {"Authorization": f"Bearer {API_KEY}"}
 response = requests.get(f"{API_URL}/devices/usage", headers=headers)
 if response.status_code == 200:
 data = response.json()
 usage = data["currentUsage"] # Adjust based on the API response
 timestamp = time.strftime("%Y-%m-%d %H:%M:%S")
 cursor.execute("INSERT INTO energy_usage VALUES (?, ?)", (timestamp, usage))
 conn.commit()
 else:
 print("Failed to fetch data:", response.status_code, response.text)

# Schedule periodic data fetching
while True:
 fetch_energy_data()
 time.sleep(60) # Fetch data every minute
  1. Analyze and Visualize Data:
    • Create daily, weekly, and monthly usage summaries.
    • Visualize trends using
      matplotlib
      or
      plotly
      .
import pandas as pd
import matplotlib.pyplot as plt

# Load data
data = pd.read_sql_query("SELECT * FROM energy_usage", conn)

# Plot
data['timestamp'] = pd.to_datetime(data['timestamp'])
data.set_index('timestamp', inplace=True)
data['usage'].plot(kind='line')
plt.title("Energy Usage Over Time")
plt.xlabel("Time")
plt.ylabel("Energy Usage (kWh)")
plt.show()
  1. Build a Web Dashboard:
    • Use Flask to create a web interface for visualizing data and setting thresholds.
from flask import Flask, render_template, jsonify

app = Flask(__name__)

@app.route("/")
def index():
 return render_template("index.html")

@app.route("/data")
def get_data():
 data = pd.read_sql_query("SELECT * FROM energy_usage", conn)
 return jsonify(data.to_dict(orient="records"))

if __name__ == "__main__":
 app.run(debug=True)
  1. Set Alerts:
    • Use Twilio or SMTP to send notifications if energy usage exceeds a threshold.
import smtplib

def send_alert(usage):
 if usage > 100: # Replace with your threshold
 with smtplib.SMTP("smtp.gmail.com", 587) as server:
 server.starttls()
 server.login("your_email@gmail.com", "your_password")
 server.sendmail(
 "your_email@gmail.com",
 "recipient_email@gmail.com",
 f"Subject: High Energy Usage AlertnnYour energy usage is too high: {usage} kWh!"
 )

Features:

  1. Real-Time Monitoring: View live energy usage.
  2. Historical Data Analysis: Analyze past energy trends.
  3. Custom Alerts: Set thresholds for notifications.
  4. Dashboard: Access usage stats and trends via a user-friendly web interface.

Next Steps:

  • Add machine learning to predict future energy consumption.
  • Integrate with smart home devices to automate energy-saving measures.
  • Expand the project to support multiple energy monitors.

 

caa November 29 2024 25 reads 0 comments Print

0 comments

Leave a Comment

Please Login to Post a Comment.
  • No Comments have been Posted.

Sign In
Not a member yet? Click here to register.
Forgot Password?
Users Online Now
Guests Online 2
Members Online 0

Total Members: 11
Newest Member: Jhilam