Abstract: Systems and methods are provided for real-time, scalable, systematic, event-based, model-driven operational value optimization for resource sites, such as a data center. A system can receive a plethora of real-time information that impacts the optimization of operations at the resource site. The system can apply some or all of this real-time data to powerful decision-making logic which analyzes various factors gleaned from the real-time information in order to determine a dynamic value optimization for operating the resource site. Methods and systems also provide the ability to adaptively command operation of the resource site (e.g., full curtailment of power and/or compute load, partial curtailment of power and/or compute load, etc.) in a manner that dynamically and in real time optimizes operations. Furthermore, the methods and systems provide a solution that has modularly designed logic and a horizontally designed framework to efficiently support a plethora of applications, even at large-scale.

Abstract: Systems and methods may include receiving real-time inputs associated with events impacting at least one of a plurality of operating parameters of a resource site. The systems and methods may analyze changes in at least one of the plurality of operating parameters in real time based on the real-time inputs and based on a feedback loop, and may dynamically determine an optimization for the resource site, which may include analyzing the operating parameters to determine a dynamic value optimization for operating the resource site in real time. The systems and methods may include performing real-time control of power, compute load, or resource-site infrastructure in accordance with a profitability analysis to achieve and maintain a target operational state. Real-time controls may include continuously adjusting resource site controls to alter power usage and achieve and maintain the determined target operational state in real time to reach the determined dynamic value optimization.

Abstract: Systems and methods may include receiving real-time inputs associated with operational efficiency or profitability of a resource site. The systems and methods may analyze changes in the operational efficiency or profitability in real-time based on the inputs. Implementations may include dynamically determining an operational value optimization for the site, where the operational value optimization may include a profitability analysis based on power cost and revenue generated from compute operations. Moreover, implementations may include determining whether a notice to curtail site operations is received from an external party, and if so, curtailing operations of the resource site accordingly. Also, implementations may include prior to receiving such a notice from a third party, performing real-time controls of power consumption or compute load at the site based on the profitability analysis, where the real-time controls may include at least temporarily curtailing or modifying site power usage.

Abstract: Systems and methods may include receiving real-time inputs associated with events impacting at least one of a plurality of operating parameters of a resource site. The systems and methods may analyze changes in at least one of the plurality of operating parameters in real time based on the real-time inputs and based on a feedback loop, and may dynamically determine an optimization for the resource site, which may include analyzing the operating parameters to determine a dynamic value optimization for operating the resource site in real time. The systems and methods may include performing real-time control of power, compute load, or resource-site infrastructure in accordance with a profitability analysis to achieve and maintain a target operational state. Real-time controls may include continuously adjusting resource site controls to alter power usage and achieve and maintain the determined target operational state in real time to reach the determined dynamic value optimization.

Abstract: Systems and methods are provided for real-time, scalable, systematic, event-based, model-driven operational value optimization for resource sites, such as a data center. A system can receive a plethora of real-time information that impacts the optimization of operations at the resource site. The system can apply some or all of this real-time data to powerful decision-making logic which analyzes various factors gleaned from the real-time information in order to determine a dynamic value optimization for operating the resource site. Methods and systems also provide the ability to adaptively command operation of the resource site (e.g., full curtailment of power and/or compute load, partial curtailment of power and/or compute load, etc.) in a manner that dynamically and in real time optimizes operations. Furthermore, the methods and systems provide a solution that has modularly designed logic and a horizontally designed framework to efficiently support a plethora of applications, even at large-scale.

Abstract: Systems and methods may include receiving real-time inputs associated with operational efficiency or profitability of a resource site. The systems and methods may analyze changes in the operational efficiency or profitability in real-time based on the inputs. Implementations may include dynamically determining an operational value optimization for the site, where the operational value optimization may include a profitability analysis based on power cost and revenue generated from compute operations. Moreover, implementations may include determining whether a notice to curtail site operations is received from an external party, and if so, curtailing operations of the resource site accordingly. Also, implementations may include prior to receiving such a notice from a third party, performing real-time controls of power consumption or compute load at the site based on the profitability analysis, where the real-time controls may include at least temporarily curtailing or modifying site power usage.