Energy Analytics
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2,847
Total Consumption (kWh)
15.3% vs last month
$4,287
Total Savings
22.1% improvement
94.2%
Efficiency Rate
8.7% improvement
96.8%
Forecast Accuracy
3.2% improvement
Energy Consumption Trends
Week
Month
Year
Energy Forecasting
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Savings Analysis
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Usage Pattern Clusters
Identify Patterns
Mathematical Forecasting Models
Recurrence Relations
E
n
= α × E
n-1
+ β × U
n
- γ × S
n
+ ε
Alpha (α) - Historical Weight
Beta (β) - Usage Factor
Gamma (γ) - Savings Impact
Epsilon (ε) - Random Factor
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Function Analysis
f(r,t) = ∑(p
r,d
× s
r,d
(t) × O
r
(t))
Room Weight Factor
Time Decay Rate
Occupancy Impact
Device Efficiency
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Probability Prediction
P(usage|t) = ∫[P
r
(t) × f(r,t) × W(season)]dr
Probability Threshold
Seasonal Weight
Confidence Level
Smoothing Factor
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Advanced Pattern Recognition
Usage Pattern Clusters
Pattern Insights
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