AutoGrid Case Studies Gexa Energy and AutoGrid's Innovative Demand Response Programs in ERCOT
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Gexa Energy and AutoGrid's Innovative Demand Response Programs in ERCOT

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Gexa Energy and AutoGrid's Innovative Demand Response Programs in ERCOT - AutoGrid Industrial IoT Case Study
Analytics & Modeling - Machine Learning
Sensors - Utility Meters
Renewable Energy
Utilities
Demand Planning & Forecasting
Usage-Based Insurance
Data Science Services
System Integration
Gexa Energy, a leading retail electricity provider in Texas, was seeking to introduce new demand response programs for its commercial and industrial customers in the Electric Reliability Council of Texas (ERCOT) market. The challenge was to provide a platform that would allow these customers to lower their energy bills by adjusting their energy consumption during peak energy demand or high wholesale electricity prices. The solution needed to be intelligent, scalable, and offer both manual and automated options for adjusting energy consumption. The demand response programs needed to include Emergency Response Service (ERS), Real-Time Price Response (RTPR), and 4 Coincident Peak (4CP).
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Gexa Energy, LP, is a leading retail electricity provider in Texas. Since entering the Texas market in 2002, Gexa Energy has established itself as one of the leading retail electricity providers for residential and commercial customers in the state. It is a subsidiary of NextEra Energy, Inc., a leading clean energy company with consolidated revenues of approximately $17.5 billion, and approximately 14,300 employees in 27 states and Canada as of year-end 2015, as well as approximately 45,000 megawatts of generation capacity as of April 2016. Gexa Energy's customers include commercial and industrial entities located in the Electric Reliability Council of Texas (ERCOT) market.
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Gexa Energy

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Gexa Energy partnered with AutoGrid Systems, the Energy Internet leader, to offer ControlComm powered by AutoGrid’s enterprise-grade Demand Response Optimization & Management System. This platform provides business customers the opportunity to lower their energy bills by adjusting their energy consumption, manually or with an automated solution, during times of peak energy demand or high wholesale electricity prices. Customers can choose to manually participate in all these programs or automate some or all of their participation by connecting their energy assets to Gexa Energy ControlComm, the online demand response platform, powered by AutoGrid. ControlComm integrates grid operator demand response event signals directly into its system, and also features support for OpenADR and other demand response communications standards. It features built-in forecasting algorithms which use advanced machine learning technology to provide more accurate forecasts of when demand response events are likely to be scheduled.
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The partnership between Gexa Energy and AutoGrid has resulted in the introduction of three new demand response programs that help customers implement smart energy strategies that meet their business objectives. The ControlComm platform, powered by AutoGrid, provides customers with a superior experience throughout the demand response program lifecycle – from enrollment and device provisioning, to energy use and load shed analysis, to personalized notifications and timely customer feedback. It gives customers the ability to analyze historical and interval energy data, delivering them personalized notifications on cost-savings opportunities via email or the ControlComm customer portal. This has enabled Gexa Energy to provide personalized services to their customers, increase their profitability, and forge stronger long-term relationships with them.
Customers with usage in excess of 100 kilowatts can receive payments for supporting grid stability through the ERS program.
Customers can reduce their transmission cost of service charges the following year by participating in the 4CP program.
Customers can get paid based on the length of the time interval and the market price of electricity during the time interval by reducing their electricity usage below their calculated baseline during high real-time market prices for electricity through the RTPR program.
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