Where can we help you?Wherecan we help you?

You will require electricity and/or natural gas interval data along with details of which meters feed which buildings. Interval data is best supplied in NEM12 and CSV formats. NEM12 is automatically processed with minimal user input, whereas CSV data must conform to a templated format. For building and meter metadata, knowledge of which building has what NMI or MIRN and the relationship between utility meters if there are child meters is vital. Having copies of invoices allows you to enter tariffs if not present, and then to use the bill to validate the calculations completed by Deep Energy.

Sub-meter data is not required for Deep Energy to function, nor does it utilise this data at present. We will assess if this is of use in future based on market feedback - however the intent is to allow rapid processing using highly available utility data, and to create maximum meaning from the limited data sources available.

From large-market NEM12 data we calculate: ✅ Interval-by interval demand (as average KVA across each interval, derived from Wh and VARh) ✅ Daily maximum demand ✅ Rolling maximum demand (definable window, typically 12 months) ✅ Average power factor ✅ Network tariffs including demand in KVA or KW, daily & enviro charges, +more ✅ Retail tariffs including stepped tariffs, weekend rates, wholesale pass-through, +more ✅ Wholesale spot price (optional) ✅ AI+ML powered load variability disaggregation (baseload vs variable) Natural gas CSV data is more variable in terms of fields and variables. Some gas accounts are volumetric, while others include a demand component. Straight volumetric meter data can be imported into Deep Energy. Contact us for very large consumers to discuss a custom solution.

CSV data can be more variable in terms of data quality, resolutions, and so forth. Typically CSV for electricity is a report from the retailer where many of the raw calculations to calculate demand are already completed. This is why when the raw NEM12 data is 5 minute, a retailer’s report is at 10 minutes, or worse, 30 minutes. NEM12 formatted utility data is the same the retailer receives from the Meter Data Agent (MDA). Because of this, ingested data can have the same level of advanced calculations applied that the retailers do when receiving the raw MDA data, including the impressive list above. NEM12 data is the highest frequency data universally available and avoids addition of expensive modbus connections to the meter, or temporary parallel sub-metering. Because of the reasons listed above, it is recommended to obtain raw NEM12 data from MSATS, the MDA, or the retailer.

Deep Energy includes a standard schema to normalise similar yet different tariffs structures from both the network and retailer. A ’tariff group’ is created to represent something like an EA305 network tariff, or a ‘Shell Energy Large Business Default’ retail tariff. Under each group, individual tariffs are entered into the tariff group. Standard fields include: Weekdays (true/false/both) Loss factor (default 1) Start date & end date ToU start (time of day) ToU end (time of day) Rate Tariff type

Supported tariff rate types: ✅ ¢ per KVA per month ✅ ¢ per KVA per day ✅ ¢ per day ✅ ¢ per month ✅ ¢ per annum ✅ ¢ per KWh ✅ ¢ per GJ ✅ ¢ per GJ per annum ✅ ¢ export per KWh

Read our Docs site here: https://docs.deepenergy.ai/settings/tariffs/ for more information on tariffs.