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Settlements and Load profile creation are long standing fundamental business processes that help energy companies predict and finalize their long term and short term supply requirements and , ultimately, their financial . However, the spread of smart meters across most LDCs is changing how we implement these vital processes. On one hand the granularity of AMI data will allow for meter level forecasting and settlement. On the other hand, the complexity of rolling up the meter-by-meter interval data will create a data deluge.
FORrunner Energy Analytics Suite can help LCDs and CESs leverage this data with practical settlement and load profiling applications to support data-driven decisions. With preconfigured profile modules for dozens on LDCs in central markets such as, ERCOT, PJM, NYISO, ISO-NE, MISO and CAISO.FORrunner can be quickly implemented to provide load profile creation and shadow settlement in every active retail energy market. This out-of-the-box functionality allows FORrunner to provide the analytics that you need in weeks instead of months. Whether you are profiling and settling interval meter data from smart meters or scalar rate class average data from monthly meters, FORrunner can provide you with the analytics you need to: |
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• Create meter-level customer profiles that can be aggregated up by customer class, delivery point and /or LDC. • Create shadow settlement routines to true-up monthly wholesale settlements with actual end-use customer meter data • Backcast settlements to better understand how changes in market conditions and/or load shaping can impact your portfolio performance |
| FORrunner's ability to compile fine granular time-of-use smart meter data and then aggregate and segment this data into useful information provides energy companies with the analytics they need to make critical daily load scheduling decisions and longer term supply planning. FORrunner provides the analytics a energy companies need to manage supply chain profit and loss decisions. |