Going Big With DERMS: How Public Service of New Mexico (PNM) Optimizes Large-Scale Batteries
Distributed Energy Resource Management Systems (DERMS) are quickly gaining adoption as an indispensable tool for managing the large influx of distributed energy resources (DERs). The ability to optimize and orchestrate huge numbers of DERs is essential to integrate large amounts of intermittent renewable generation while also ensuring grid reliability.
AI-Driven Enhancements for Optimal Asset Performance
A recent study conducted by ARC Advisory Group analyzed how leading manufacturing companies are leveraging artificial intelligence (AI) and machine learning tools to improve asset performance. While condition-based maintenance is most prevalent, the study found that leaders have successfully built AI capabilities to enhance asset performance practices through in-house platforms, commercial solutions and a combination of both.
AspenTech DataWorks Community
We're excited to present the AspenTech DataWorks Community—a dynamic platform designed to connect, educate and empower industrial professionals like never before.
Aspen InfoPlus.21 for Downstream
Aspen InfoPlus.21® (IP.21) is an industrial process historian for collecting and storing large volumes of process data for analysis and reporting. With Aspen IP.21, you can drive performance improvements and optimize decision making through near real-time asset visibility, analysis and monitoring.
Scheduling and Execution Alignment
Increase production and supply chain resiliency by rapidly managing disruptions with real-time visibility and collaboration.
Agent Scalability with AspenTech APM 4.0
Unexpected disturbances and shutdowns can severely impact any manufacturing facility. The AspenTech APM 4.0 portfolio uses agents that can be replicated quickly and easily across all plant assets to assure production and avoid unnecessary maintenance. Learn how APM 4.0 delivers an all-inclusive approach to efficiency, productivity and safety to support operational excellence in plant operations and the bottom line for manufacturers.
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