1 Insights into Scaling Virtual Power Plants Real-World Findings for Successful Deployment January 2025 Angela Long (Rockcress Consulting) Ryan Long (Rockcress Consulting) PacifiCorp Stacy Miller, U.S. DOE Tolu Omotoso, NRECA Tomas Smith, Puget Sound Energy 5 5 REAL-WORLD FINDINGS FOR SUCCESSFUL DEPLOYMENT Insights into Scaling Virtual Power Plants Executive Summary locationality to their VPP). PGE is enhancing operations at the grid edge for flexibility. This involves real-time computation and communication at the device level to manage customer usage patterns dynamically

lines, processes, and equipment. Employing advanced diagnostic tools, such as thermal imaging and real-time energy monitoring, enhances the accuracy and depth of the audit. These tools help uncover hidden controls. Variable frequency drives (VFDs) can further reduce energy waste by adjusting air output to real-time demand. Installing local boosters for equipment requiring higher pressure helps avoid raising overall energy use. ii All payback period data and estimates are based on practical experience from real-world cases. In individual cases, the actual payback time can vary significantly, as it depends on

的数据归档 • 根据特定属性来查找 log, 可用于维护站点 的 一致性，保护用户免受垃圾邮件影响 13 Hadoop Map/Reduce 实时分析 — 真实情况 • Real time(msec/sec) • Near real time(Min/Hours) • Batch(Days..) Hadoop/Hive..Not realtime. Many dependencies. Lots of that go through Hadoop [at Yahoo!], the latency is about fifteen minutes. … It will never be true real-time..” (Yahoo CTO Raymie Stata) "MapReduce and other batch-processing systems cannot process small

terms on purchased and leased real estate, furniture and fixtures Increase utilization of real estate Improve capacity/ demand planning processes and tools Improve real estate design and develop- ment (administration, security, energy, HVAC and maintenance) Improve real estate selection, acquisition and contracting processes Improve real estate improvement and deployment processes Improve terms with business models with low real estate requirements Reduce number of data centers, branch offices, dealerships, retail outlets, etc. Outsource business functions Increase use of leased real estate Improve terms

115367  SPE Paper 111990  SPE Paper 127517  SPE Paper 127520  New Tool Manages Big Data in Real Time, AAPG Explorer, January 2016 ADNOC  Shortfall identification and management cycle time improved enabled by the OSDU Data Platform. − ‘’Realtime as the standard”: Making sure that any amount of real time data can be handled by the OSDU Data Platform and linked Edge facilities. − ‘’Support for End-to-End kicks for client data  False alarm ratio is less than 8% Automatic Early Kick Alarming Real-time Drilling Data Physics based modeling Time-series Data mining 04 AI 实例：早期井涌预警系统

application functions. 实现了系统的闭环、实时在线、全自动运行，可在 1 秒钟内 快 速完成优化计算和指令下达。 The system has achieved closed-loop, real-time online, and fully automatic operation, with the ability to complete optimization calculations versatility and easy expandability of functions 配套终端功能灵活定制 Customizable Terminal Functions 实时准确响应调度指令 Real-time and Accurate Response to Dispatch Instructions 平台建设亮点 Highlights of the platform construction - VPP analysis based on different regional advantages VPP can establish efficient connection and real-time monitoring between various types of distributed resources, carrying out trading of distributed

digital twin configuration in figure 1 could have included the deployed finished product, for example. Real-time information about how a product actually performs in the field could prove useful to future Holdowsky et al., Inside the Internet of Things (IoT). 16. Data can be analyzed either as a batch or in real time or as a combination (lambda architecture). Batch analytics is an efficient way of processing over the day. In comparison, real-time analytics involves generating insights about a physical asset through continuous processing of incoming data pertaining to the asset. Real-time analytics might be used

platform has functions such as real-time collection, monitoring, analysis, and management of environmental data. Scientific applications can achieve intelligent control and real-time monitoring of environmental

and effective scheduling strategy is the key to achieving this goal. The optimal scheduling of a real community integrated energy system in winter was studied. On the basis of building detailed models time-scale uncertainties based on rolling optimization and feedback correction behaviors; and a real-time adjustment process can eliminate the small time-scale fluctuations of renewable energy and scheduling plan of every interval t in a whole cycle is finished. In the dynamic adjustment stage, the real-time solar radiation/loads and the system’s operation state are acquired firstly. Then, with the

Bigint BIGINT BINARY_FLOAT 32bit Float FLOAT4 BINARY_DOUBLE 64bit Double BINARY_DOUBLE REAL 4bytes Float REAL Date 7bytes Date DATE TIMESTAMP 7bytes TIMESTAMP TIMESTAMP TIMESTAMP WITH TIME