Degree day data

• Expose abnormal seasonal patterns of consumption
• Detect exceptional consumption caused by faults
• Set and track fuel budgets
• Normalise the performance of different buildings to a common basis for comparison purposes
• Verify and quantify the savings achieved by energy-saving measures after allowing for weather variations
• Extrapolate annual consumption from a limited period of monitoring

"The data is fantastic, it is really improving my analysis here and helped to identify where we can save most energy." - David Collier, The National Archives

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