Abstract: A computer-implemented method for identifying utility usage from a historical utility file is disclosed. The method includes obtaining a file containing historical utility consumption of a dwelling over a time period; processing the file through optical character recognition (OCR); identifying contextual data from the OCR processed file; identifying chart data from the OCR processed file; extracting one or more values from the chart data, wherein the values correspond to one or more elements of the chart data; and contextualizing the extracted values from the chart data by applying the contextual data to the extracted value to obtain utility usage data.

Abstract: A computer-implemented method for itemizing energy consumption to generate and present a utility consumption profile based on disaggregated historical utility consumption data is presented. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period. A non-seasonal portion of the historical utility consumption data is then determined by first computing an average utility consumption based on one or more predetermined intervals within the time period, and then computing the non-seasonal portion by applying the average to the time period. The non-seasonal portion is then subtracted from the historical utility consumption data to obtain a seasonal portion of the historical utility consumption data. The seasonal and/or non-seasonal portion may be further disaggregated by end-use methods, and presented to the user in the utility consumption profile.

Abstract: A computer-implemented method for itemizing energy consumption to generate and present a utility consumption profile based on disaggregated historical utility consumption data is presented. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period. A non-seasonal portion of the historical utility consumption data is then determined by first computing an average utility consumption based on one or more predetermined intervals within the time period, and then computing the non-seasonal portion by applying the average to the time period. The non-seasonal portion is then subtracted from the historical utility consumption data to obtain a seasonal portion of the historical utility consumption data. The seasonal and/or non-seasonal portion may be further disaggregated by end-use methods, and presented to the user in the utility consumption profile.

Abstract: A computer-implemented method for itemizing energy consumption to generate and present a utility consumption profile based on disaggregated historical utility consumption data is disclosed. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period. A non-seasonal portion of the historical utility consumption data is then determined by first computing an average utility consumption based on one or more predetermined intervals within the time period, and then computing the non-seasonal portion by applying the average to the time period. The non-seasonal portion is then subtracted from the historical utility consumption data to obtain a seasonal portion of the historical utility consumption data. The seasonal and/or non-seasonal portion may be further disaggregated by end-use methods, and presented to the user in the utility consumption profile.

Abstract: A computer-implemented method for itemizing energy consumption to generate and present a utility consumption profile based on disaggregated historical utility consumption data is disclosed. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period. A non-seasonal portion of the historical utility consumption data is then determined by first computing an average utility consumption based on one or more predetermined intervals within the time period, and then computing the non-seasonal portion by applying the average to the time period. The non-seasonal portion is then subtracted from the historical utility consumption data to obtain a seasonal portion of the historical utility consumption data. The seasonal and/or non-seasonal portion may be further disaggregated by end-use methods, and presented to the user in the utility consumption profile.

Abstract: A computer-implemented method is disclosed for generating and presenting personalized recommendations of improving utility consumption efficiency of a dwelling based on an itemized utility consumption profile generated from historical utility consumption data. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period to produce an itemized utility consumption profile. A list of recommendations for improving utility consumption efficiency is generated based on the itemized utility consumption profile, and a reduction in utility consumption for each recommendation is estimated based on the historical consumption profile. The recommendations may be ranked, modified, or bundled to produce personalized recommendations, which may increase the likelihood of implementation.