Electricity Supply Plan Shopping Website Launches Electricity Cost Calculator for Nearly Every Home in the U.S.
August 25, 2020 Email This Story Copyright 2010-20 EnergyChoiceMatters.com
Reporting by Paul Ring • email@example.com
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WattBuy, which describes itself as, "an energy intelligence service that empowers real estate companies, homeowners, and renters by providing comprehensive data on electricity usage and costs," announced that it, "has launched the first tool that estimates the electricity cost and carbon footprint impact for nearly every home in the United States."
As previously reported, WattBuy also operates an electricity supply plan shopping website and holds various broker licenses
"Visitors to wattbuy.com can enter an address to receive a month-by-month estimate of the home’s cost for electricity based on its average monthly electricity consumption along with a corresponding amount of annual carbon dioxide (CO₂) emissions created by the home’s electricity usage," the company said
"WattBuy’s electricity estimation calculator incorporates U.S. Energy Information Administration residential electricity usage data at a sub-state level, along with building profile correlations from the Lawrence Berkeley National Laboratory’s Building Performance Database. It also incorporates building characteristics from Zillow as well as individual county assessment data to determine specific housing characteristics. WattBuy provides this address-level information for nearly every single family home, many townhomes and condominiums, and some multifamily apartment buildings," the company said
"To come up with these calculations, WattBuy incorporates several open and proprietary data sources including recent hourly temperature and weather data from Dark Sky, climate data for historical trends from a typical meteorological year from the U.S. Department of Energy Open Energy Data catalog and several other proprietary data sets. This data is then used to build a gradient boosting machine learning model that takes location, building characteristics, and weather data as inputs, and returns an hourly electricity usage prediction," the company said