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Good for Business: Energizing SMB Customer Satisfaction

Bidgely

How Rocky Mountain Power boosted SMB CSAT with Business Energy Reports The 2023 J.D. Power Electric Utility Business Customer Satisfaction Study highlighted a concerning drop in business customer satisfaction (CSAT) among electric utilities, finding CSAT is at an all-time low of 754 on a 1,000-point scale.

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Transforming Customer Segmentation with the Power of AI

Bidgely

Learn more about how you can integrate Bidgely’s AI-powered customer profiling and segmentation capability into your operations to generate greater ROI from your AMI investment by downloading our Data Science Lab’s AI-Powered Customer Segmentation for Utilities white paper.

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Guidehouse Insights Recognizes Bidgely for Technology and Vision in Smart Meter Analytics Grid-Based Applications

Bidgely

Learn more about Bidgely’s Smart Meter Analytics grid- based applications by downloading the AMI Insights Report and Enterprise Analytics Whitepaper. In other words, only analytics providers who have successfully developed AMI algorithms to generate insights around transformer health (grid) made the fiercely competitive list.

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Cooperation Between the Utility and its Customers in a Complex Energy Landscape

AutoGrid

Cooperation Between the Utility and its Customers in a Complex Energy Landscape. The future energy landscape is a multi-leveled, interconnected topography of many diverse entities. Therefore, successful operations require cooperative business relationships between the utility electric providers, aggregators, and customers.

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Inflation Reduction Act Activation Guide: Climate-Smart Agriculture

EDF + Business

Climate-Smart Agriculture Inflation Reduction Act Activation Guide Download Guide Produced by EDF in collaboration with A broad range of companies within the food sector can use IRA-funded agricultural programs to support their climate goals. biomass, anaerobic digester, wind, solar) Energy Efficiency Investments (e.g.,

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Harness the Power of Bottom-Up Grid Management

Bidgely

Load forecasting has always been a mission-critical discipline for energy providers. Accurate demand forecasting enables critical utility functions ranging from purchasing energy at a lower cost, avoiding black and brownouts, developing dynamic rate structures and implementing more effective demand response programs.