RSK World - Energy Consumption Dataset - Project Files Browser | RSK World

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    Project: Energy Consumption Dataset
    Author: RSK World
    Website: https://rskworld.in
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    <title>Energy Consumption Dataset - RSK World</title>
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        <!-- Header -->
        <div class="card">
            <div class="card-header text-center">
                <i class="fas fa-clock icon-large"></i>
                <h1 class="mb-0">Energy Consumption Dataset</h1>
                <p class="mb-0 mt-2">Smart meter energy consumption dataset with hourly electricity usage patterns</p>
            </div>
        </div>

        <!-- Description -->
        <div class="card">
            <div class="card-body">
                <h3><i class="fas fa-info-circle text-success"></i> About This Dataset</h3>
                <p class="lead">
                    This dataset contains hourly energy consumption data from smart meters with seasonal patterns, 
                    peak hours, and consumption trends. Perfect for energy demand forecasting, load prediction, 
                    and smart grid applications.
                </p>
                
                <h4 class="mt-4"><i class="fas fa-star text-warning"></i> Key Features</h4>
                <ul class="feature-list">
                    <li><i class="fas fa-check-circle"></i> Hourly consumption data</li>
                    <li><i class="fas fa-check-circle"></i> Seasonal patterns</li>
                    <li><i class="fas fa-check-circle"></i> Peak hour identification</li>
                    <li><i class="fas fa-check-circle"></i> Multiple households</li>
                    <li><i class="fas fa-check-circle"></i> Time series ready format</li>
                </ul>
            </div>
        </div>

        <!-- Statistics -->
        <div class="row">
            <div class="col-md-3">
                <div class="stats-card">
                    <div class="stats-number" id="totalRecords">-</div>
                    <div class="stats-label">Total Records</div>
                </div>
            </div>
            <div class="col-md-3">
                <div class="stats-card">
                    <div class="stats-number" id="households">-</div>
                    <div class="stats-label">Households</div>
                </div>
            </div>
            <div class="col-md-3">
                <div class="stats-card">
                    <div class="stats-number" id="avgConsumption">-</div>
                    <div class="stats-label">Avg Consumption (kWh)</div>
                </div>
            </div>
            <div class="col-md-3">
                <div class="stats-card">
                    <div class="stats-number" id="dateRange">-</div>
                    <div class="stats-label">Days of Data</div>
                </div>
            </div>
        </div>

        <!-- Visualizations -->
        <div class="card">
            <div class="card-body">
                <h3><i class="fas fa-chart-line text-primary"></i> Data Visualizations</h3>
                <div class="chart-container">
                    <canvas id="consumptionChart"></canvas>
                </div>
            </div>
        </div>

        <div class="card">
            <div class="card-body">
                <h3><i class="fas fa-chart-bar text-info"></i> Hourly Patterns</h3>
                <div class="chart-container">
                    <canvas id="hourlyChart"></canvas>
                </div>
            </div>
        </div>

        <!-- Seasonal Patterns -->
        <div class="card">
            <div class="card-body">
                <h3><i class="fas fa-calendar-alt text-warning"></i> Seasonal Patterns</h3>
                <div class="chart-container">
                    <canvas id="seasonalChart"></canvas>
                </div>
            </div>
        </div>

        <!-- Household Comparison -->
        <div class="card">
            <div class="card-body">
                <h3><i class="fas fa-home text-danger"></i> Household Comparison</h3>
                <div class="chart-container">
                    <canvas id="householdChart"></canvas>
                </div>
            </div>
        </div>

        <!-- Advanced Features Section -->
        <div class="card">
            <div class="card-header text-center">
                <h3><i class="fas fa-rocket"></i> Advanced Features</h3>
            </div>
            <div class="card-body">
                <div class="row">
                    <div class="col-md-4 mb-3">
                        <div class="card h-100 border-primary">
                            <div class="card-body text-center">
                                <i class="fas fa-brain fa-3x text-primary mb-3"></i>
                                <h5>Machine Learning</h5>
                                <p class="small">Forecasting models including Linear Regression and Random Forest</p>
                            </div>
                        </div>
                    </div>
                    <div class="col-md-4 mb-3">
                        <div class="card h-100 border-warning">
                            <div class="card-body text-center">
                                <i class="fas fa-exclamation-triangle fa-3x text-warning mb-3"></i>
                                <h5>Anomaly Detection</h5>
                                <p class="small">Multiple detection methods: IQR, Z-score, Isolation Forest, Time Series</p>
                            </div>
                        </div>
                    </div>
                    <div class="col-md-4 mb-3">
                        <div class="card h-100 border-success">
                            <div class="card-body text-center">
                                <i class="fas fa-chart-line fa-3x text-success mb-3"></i>
                                <h5>Time Series Analysis</h5>
                                <p class="small">Decomposition, autocorrelation, trend detection, and stationarity tests</p>
                            </div>
                        </div>
                    </div>
                </div>
            </div>
        </div>

        <!-- Technologies -->
        <div class="card">
            <div class="card-body">
                <h3><i class="fas fa-tools text-secondary"></i> Technologies</h3>
                <div class="d-flex flex-wrap gap-2">
                    <span class="badge bg-primary p-2">CSV</span>
                    <span class="badge bg-primary p-2">JSON</span>
                    <span class="badge bg-primary p-2">Pandas</span>
                    <span class="badge bg-primary p-2">Time Series</span>
                    <span class="badge bg-primary p-2">Python</span>
                    <span class="badge bg-primary p-2">Data Analysis</span>
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            </div>
        </div>

        <!-- Download Section -->
        <div class="card">
            <div class="card-body text-center">
                <h3><i class="fas fa-download text-success"></i> Download Dataset</h3>
                <p>Get the complete dataset in CSV or JSON format</p>
                <div class="d-flex justify-content-center gap-3 flex-wrap">
                    <a href="energy_consumption.csv" class="btn btn-primary" download>
                        <i class="fas fa-file-csv"></i> Download CSV
                    </a>
                    <a href="energy_consumption.json" class="btn btn-primary" download>
                        <i class="fas fa-file-code"></i> Download JSON
                    </a>
                </div>
                <hr class="my-4">
                <h5 class="mb-3">Advanced Scripts</h5>
                <div class="d-flex justify-content-center gap-2 flex-wrap">
                    <span class="badge bg-info p-2">forecasting.py - ML Models</span>
                    <span class="badge bg-warning p-2">anomaly_detection.py</span>
                    <span class="badge bg-success p-2">advanced_analysis.py</span>
                    <span class="badge bg-secondary p-2">preprocessing.py</span>
                </div>
            </div>
        </div>

        <!-- Usage Example -->
        <div class="card">
            <div class="card-body">
                <h3><i class="fas fa-code text-dark"></i> Usage Example</h3>
                <pre class="bg-dark text-light p-3 rounded"><code>import pandas as pd

# Load the dataset
df = pd.read_csv('energy_consumption.csv')

# Basic statistics
print(df.describe())

# Peak hour analysis
hourly_avg = df.groupby('hour')['consumption_kwh'].mean()
print(hourly_avg.sort_values(ascending=False).head())</code></pre>
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        <!-- Footer -->
        <div class="footer">
            <p><strong>Energy Consumption Dataset</strong></p>
            <p>Project by <a href="https://rskworld.in" target="_blank">RSK World</a></p>
            <p>
                <a href="mailto:help@rskworld.in">help@rskworld.in</a> | 
                <a href="tel:+919330539277">+91 93305 39277</a>
            </p>
            <p><small>&copy; 2026 RSK World. Free to use for educational and research purposes.</small></p>
        </div>
    </div>

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                const totalRecords = data.length;
                const households = new Set(data.map(d => d.household_id)).size;
                const avgConsumption = (data.reduce((sum, d) => sum + d.consumption_kwh, 0) / totalRecords).toFixed(2);
                const dates = data.map(d => new Date(d.timestamp));
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                // Seasonal patterns chart
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                    const date = new Date(d.timestamp);
                    const month = date.getMonth();
                    if (!monthlyData[month]) {
                        monthlyData[month] = [];
                    }
                    monthlyData[month].push(d.consumption_kwh);
                });
                
                const months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'];
                const monthlyAvg = months.map((_, month) => {
                    const values = monthlyData[month] || [];
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                const ctx3 = document.getElementById('seasonalChart').getContext('2d');
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                            data: monthlyAvg,
                            borderColor: '#e74c3c',
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                });
                
                // Household comparison chart
                const householdData = {};
                data.forEach(d => {
                    const household = d.household_id;
                    if (!householdData[household]) {
                        householdData[household] = [];
                    }
                    householdData[household].push(d.consumption_kwh);
                });
                
                const householdAvg = Object.keys(householdData).sort().map(household => {
                    const values = householdData[household];
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