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Automated efficiency model

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comparisons. For example, REColorado, the multiple listing service covering the Denver metro area, presents a UtilityScore widget on homes for sale. Zillow publishes a Sun Number score on the home fact sheet so website visitors can compare the solar energy potential of prospective properties. Trulia has published a report using automated estimates from UtilityScore to present water, natural gas and electric rates into a single price per square foot by zip code.
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AEMs calculate specific efficiencies such as location, water, energy or solar efficiency. The Council of Multiple Listing Services defines an AEM as, “any algorithm or scoring model that estimates the of a home without an on-site inspection. They are similar to Automated Valuation Models (AVMs), but
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AEMs generate a score for a specific property based on both publicly available housing characteristics about the subject property as well as mathematical modeling. AEMs are technology-driven scores without an onsite inspection or human assessment. For more accurate information unique to a specific
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Most AEMs calculate a property’s selected efficiency by analyzing available public information and may also apply proprietary data or formulas, and allow for a user such as a home owner to make additional inputs. Housing characteristics such as age of the home or square footage may be obtained by
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By design, the AEM score output is provided as a preliminary comparison tool so the score of one property may be compared to other homes, against an average score for the area, etc. Primary users may vary from buyers and sellers to real estate agents and appraisers as they complete relevant
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According to the Council of Multiple Listing Services advantages are, “AEMs provide consumers with a quick comparison of all properties across a specified market. Since most focus on the attached systems and structure, they are only meant to reflect the efficiency of the real property.”
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that estimates a real estate property’s efficiency (in terms of energy, commuting, etc) by using details specific to the property which are available publicly and/or housing characteristics which are aggregated over a given area such as a zip code. AEMs have some similarities to an
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According to the Council of Multiple Listing Services advantages are, “AEMs are dependent on data used, the assumptions made, and the model methodology. Since models and methodologies differ and no on-site inspections are performed, accuracy may vary among scoring systems.”
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According to National Mortgage Professional Magazine AEMs may one day be incorporated into loan underwriting as well, “Since utilities are as big or bigger part of home expenses than even real estate taxes, we may see begin to be factored into underwriting.”
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As shown in the section above, AEMs tend to rely on public information rather than information which is private to the resident such as actual utility bills. Utility bills can vary based on the occupancy and
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Beyond usage for consumer preliminary comparisons, usage of AEMs varies by industry. AEMs may also be used by solar installers, home improvement contractors, efficiency inspectors, and mortgage lenders.
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within a structure. The public information used in AEMs is relatively static as it is focused on details of the structure, location and/or mechanical systems and therefore tends to reflect the
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Detailed information on the data accessed to calculate an AEM, the modeling formulas and algorithms are generally not published. A summary of general information is listed in the table below:
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industry, installers use Sun Number to reduce the soft costs associated with motivating consumers to invest in solar systems and in recording property specifications to create quotes. The
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Consumption data based on a physics-based model and Tendril True Home methodology, home characteristics as matched to customer data such as for Realltors Property Resource.
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Aggregates high-resolution aerial data and GIS software to estimate rooftop pitch and orientation; applies algorithms to factor local weather conditions and impact of shade
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has found that Sun Number eliminates 7–10 days from the quotation process when solar suitability is determined digitally and eliminates the need for an onsite inspection.
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Public and private data sources; 31 factors including mortgage rates, property taxes, estimated utility bills, insurance rates, commuting costs and daycare
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or a similar offerings. Estimates of energy usage may be available from published sources such as through the Residential Energy Consumption Survey by the
491: 415: 812: 725: 967: 938: 363: 515: 41: 442: 79:(LEM). During underwriting, an AEM such as the H+T Affordability Index is used to calculate the location efficient value 45: 1002: 143:
Cost prediction based on local utility rates, personal usage habits; home characteristics as provided by Zillow
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Public data on neighborhood characteristics and household characteristics; methodology has been peer-reviewed
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McPherson, Marian (September 19, 2016). ""UtilityScore comes to REcolorado.com"". Inman News.
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McPherson, Marian (September 19, 2016). "UtilityScore comes to REcolorado.com". Inman News.
416:"Sun Number Partnership with Zillow Brings Solar Potential Scores to Millions of Americans" 8: 24: 75:
AEMs have been used in the mortgage industry to support a niche loan product called a
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are more reliant on public data such as square footage...and estimated energy usage.”
326: 747: 529:"News from NAMP: October 20, 2016. Utility Bills May Be Coming to the Internet" 283:“Data sources include Google, Education.com, Open Street Map, the U.S. Census, 834: 996: 561: 330: 65: 93: 912: 772: 266: 813:"MLS offers app that shows what it will really cost to own that home" 718:"What is the home energy consumption data? "Will my score change?"" 284: 886: 166:
Aggregates electricity- and gas-related cost and consumption data
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Birdsell, T.; Dewar, J.; Sommers, K.; Zeidman, M. (2012).
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REcolorado, Attom Data Warehouse (formerly RealtyTrac)
287:, and places added by the Walk Score user community” 798:"The week in real estate industry deals: Nov. 21-25" 643:"The week in real estate industry deals: Nov. 14-18" 599:"The week in real estate industry deals: Oct. 10–14" 443:"Before you buy that home, avoid utility bill shock" 977:. Council of Multiple Listing Services. May 9, 2016 948:. Council of Multiple Listing Services. May 9, 2016 373:. Council of Multiple Listing Services. May 9, 2016 691:"Zillow adds solar power scores to property pages" 498:. Washington University. p. 2. Archived from 994: 968:"CMLS Green Sheet: Automated Efficiency Models" 939:"CMLS Green Sheet: Automated Efficiency Models" 364:"CMLS Green Sheet: Automated Efficiency Models" 356: 333:transferred during a real estate transaction. 422:. U.S. Department of Energy. October 24, 2016 301:$ of housing + transportation (low to high) 666:"New Blueprint for Rooftop Solar Analysis" 526: 466:"New Blueprint for Rooftop Solar Analysis" 586: 549: 531:. National Mortgage Professional Magazine 391: 92:property an onsite inspection such as an 810: 671:. Solar Builder Magazine. pp. 20–23 664:Herman, David (September–October 2013). 471:. Solar Builder Magazine. pp. 20–23 464:Herman, David (September–October 2013). 392:McPherson, Marian (September 19, 2016). 995: 811:Brambila, Andrea (November 12, 2014). 663: 463: 394:"UtilityScore comes to REcolorado.com" 197:Tendril Home Energy Consumption Score 712: 710: 708: 623:. Queensland Times. November 26, 2016 440: 40:data providers such as those on this 975:Council of Multiple Listing Services 946:Council of Multiple Listing Services 919:. Center for Neighborhood Technology 893:. Center for Neighborhood Technology 621:"How energy efficient is your home?" 371:Council of Multiple Listing Services 42:list of online real estate databases 527:Councilman, J. (October 20, 2016). 215:Realtors Property Resource, Redfin 13: 705: 51: 16:Mathematical model for real estate 14: 1014: 46:Energy Information Administration 800:. Inman News. November 24, 2016. 340: 280:United States, Canada, Australia 21:automated efficiency model (AEM) 960: 931: 905: 879: 853: 827: 804: 790: 765: 740: 683: 657: 645:. Inman News. November 19, 2016 635: 613: 591: 580: 693:. Inman News. October 25, 2016 601:. Inman News. October 15, 2016 554: 543: 520: 483: 457: 434: 408: 385: 86: 1: 748:"Tendril Energy Intelligence" 349: 319: 249:$ of lifestyle (low to high) 441:Grant, Kelli (26 Oct 2016). 7: 861:"Real Estate Professionals" 77:Location Efficient Mortgage 10: 1019: 722:Realtors Property Resource 313:MSP H+T Calculator, Abogo 70:U.S. Department of Energy 30:automated valuation model 246:Energy, water, location 203:1–100 (worst to best) 1003:Mathematical modeling 496:Washington University 274:1–100 (worst to best) 180:1–100 (worst to best) 157:1-100 (worst to best) 134:1–100 (worst to best) 773:"Tendril Customers" 568:. GTI International 114:User input allowed? 420:EERE Success Story 25:mathematical model 728:on 26 August 2017 505:on March 23, 2017 327:personal property 317: 316: 1010: 987: 986: 984: 982: 972: 964: 958: 957: 955: 953: 943: 935: 929: 928: 926: 924: 909: 903: 902: 900: 898: 883: 877: 876: 874: 872: 857: 851: 850: 848: 846: 831: 825: 824: 822: 820: 808: 802: 801: 794: 788: 787: 785: 783: 769: 763: 762: 760: 758: 744: 738: 737: 735: 733: 724:. 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Retrieved 370: 358: 344: 335: 323: 235:Energy costs 151:Energy Score 128:UtilityScore 98: 94:energy audit 90: 81: 74: 63: 59: 55: 38: 34: 20: 18: 627:28 February 605:28 February 572:28 February 535:28 February 509:28 February 475:28 February 449:28 February 426:28 February 400:28 February 120:Methodology 87:Methodology 865:Walk Score 839:Walk Score 350:References 320:Advantages 267:Walk Score 243:TLC Engine 174:Sun Number 169:REA Group 917:H+T Index 891:H+T Index 295:H+T Index 238:Estately 163:Australia 997:Category 867:. Redfin 841:. Redfin 503:(Thesis) 298:Location 290:Various 285:Localeze 271:Location 117:Location 981:1 March 952:1 March 923:1 March 897:1 March 887:"About" 871:1 March 845:1 March 819:1 March 777:Tendril 752:Tendril 697:1 March 675:1 March 649:1 March 516:Alt URL 377:1 March 232:Unknown 229:Unknown 226:Unknown 200:Energy 192:Zillow 183:Unknown 64:In the 782:25 Aug 757:25 Aug 732:25 Aug 445:. CNBC 223:Energy 154:Energy 971:(PDF) 942:(PDF) 669:(PDF) 469:(PDF) 367:(PDF) 177:Solar 111:Score 23:is a 983:2017 954:2017 925:2017 899:2017 873:2017 847:2017 821:2017 784:2017 759:2017 734:2017 699:2017 677:2017 651:2017 629:2017 607:2017 574:2017 537:2017 511:2017 477:2017 451:2017 428:2017 402:2017 379:2017 252:Yes 206:No 160:Yes 137:Yes 105:AEM 19:An 999:: 973:. 944:. 915:. 889:. 863:. 837:. 775:. 750:. 720:. 707:^ 564:. 494:. 418:. 369:. 304:No 277:No 48:. 985:. 956:. 927:. 901:. 875:. 849:. 823:. 786:. 761:. 736:. 701:. 679:. 653:. 631:. 609:. 576:. 539:. 513:. 479:. 453:. 430:. 404:. 381:.

Index

mathematical model
automated valuation model
list of online real estate databases
Energy Information Administration
photovoltaics
U.S. Department of Energy
Location Efficient Mortgage
energy audit
Walk Score
Localeze
personal property
real property
"CMLS Green Sheet: Automated Efficiency Models"
"UtilityScore comes to REcolorado.com"
"Sun Number Partnership with Zillow Brings Solar Potential Scores to Millions of Americans"
"Before you buy that home, avoid utility bill shock"
"New Blueprint for Rooftop Solar Analysis"
"An Overview of Two Land Use Planning Tools Location Efficient Mortgages and Inclusionary Zoning"
the original
Alt URL
"News from NAMP: October 20, 2016. Utility Bills May Be Coming to the Internet"
"How It Works"
"The week in real estate industry deals: Oct. 10–14"
"How energy efficient is your home?"
"The week in real estate industry deals: Nov. 14-18"
"New Blueprint for Rooftop Solar Analysis"
"Zillow adds solar power scores to property pages"


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