Drive energy efficiency across facilities with interval meter analytics
Driving energy efficiency across a large portfolio of energy-intensive facilities requires the capture and analysis of multiple granular data sets to help organizations understand their energy usage patterns and change behaviors to meet their decarbonization goals faster.
IBM Envizi: Interval Meter Analytics consolidates interval meter data from utility meter providers and sub-metering systems to simplify and standardize the monitoring of utility demand and consumption data at a granular level. With powerful data analytics, benchmarking and workflow tools, it provides a contextualized view of interval meter data with other facility attributes to calculate weather-normalized utility intensities, pinpoint inefficient facilities and highlight those with the highest cost and energy savings potential.
Utility performance management
Drill down from portfolio-wide views to individual groups, locations or meters and report on a range of utility performance metrics including consumption, demand, emissions and relative energy and water intensity.
Perform regression analysis using Envizi’s integrated regression modelling tool to normalize energy performance for weather and KPI metrics, so you can measure and track savings against baseline periods over time.
Visualization and reporting
View your meter data through integrated dashboards and extract reports, allowing you to analyze utility demand and consumption from multiple perspectives at varying levels of granularity.
Use day-of-week and weather-correction data models to auto-generate alerts and issues when demand or consumption varies from expected values. Triage, prioritize and assign issues for investigation and remediation using Kanban-style issue boards.
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