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All (3)

All (3) ((3 results))

  • 1. Sample-based estimation of mean electricity consumption curves for small domains Archived
    Articles and reports: 12-001-X201800254955
    Description:

    Many studies conducted by various electric utilities around the world are based on the analysis of mean electricity consumption curves for various subpopulations, particularly geographic in nature. Those mean curves are estimated from samples of thousands of curves measured at very short intervals over long periods. Estimation for small subpopulations, also called small domains, is a very timely topic in sampling theory.

    In this article, we will examine this problem based on functional data and we will try to estimate the mean curves for small domains. For this, we propose four methods: functional linear regression; modelling the scores of a principal component analysis by unit-level linear mixed models; and two non-parametric estimators, with one based on regression trees and the other on random forests, adapted to the curves. All these methods have been tested and compared using real electricity consumption data for households in France.

    Release date: 2018-12-20
  • 2. Capital Expenditure Price Statistics Archived
    Table: 62-007-X
    Description: The publication contains price indexes for expenditures on capital investment, including machinery and equipment by industry of purchase and by commodity group, construction (new housing, apartment buildings and non-residential buildings), inputs used in construction (materials and wage rates) as well as special purchase price indexes for telecommunications and electric utilities. Included are highlights and technical notes.
    Release date: 2013-10-31
  • 3. Electric Power Statistics Archived
    Table: 57-001-X
    Description:

    This on-line publication provides data about type of electricity generation and/or movement by large generators of electricity in Canada (those which generate 20,000 or more Mwh/year) and by establishments which have imports, exports or interprovincial transactions. Data is organized by province and by month with comparative cumulative totals for 2000 and 2001.

    Release date: 2003-04-02
Data (2)

Data (2) ((2 results))

  • 1. Capital Expenditure Price Statistics Archived
    Table: 62-007-X
    Description: The publication contains price indexes for expenditures on capital investment, including machinery and equipment by industry of purchase and by commodity group, construction (new housing, apartment buildings and non-residential buildings), inputs used in construction (materials and wage rates) as well as special purchase price indexes for telecommunications and electric utilities. Included are highlights and technical notes.
    Release date: 2013-10-31
  • 2. Electric Power Statistics Archived
    Table: 57-001-X
    Description:

    This on-line publication provides data about type of electricity generation and/or movement by large generators of electricity in Canada (those which generate 20,000 or more Mwh/year) and by establishments which have imports, exports or interprovincial transactions. Data is organized by province and by month with comparative cumulative totals for 2000 and 2001.

    Release date: 2003-04-02
Analysis (1)

Analysis (1) ((1 result))

  • 1. Sample-based estimation of mean electricity consumption curves for small domains Archived
    Articles and reports: 12-001-X201800254955
    Description:

    Many studies conducted by various electric utilities around the world are based on the analysis of mean electricity consumption curves for various subpopulations, particularly geographic in nature. Those mean curves are estimated from samples of thousands of curves measured at very short intervals over long periods. Estimation for small subpopulations, also called small domains, is a very timely topic in sampling theory.

    In this article, we will examine this problem based on functional data and we will try to estimate the mean curves for small domains. For this, we propose four methods: functional linear regression; modelling the scores of a principal component analysis by unit-level linear mixed models; and two non-parametric estimators, with one based on regression trees and the other on random forests, adapted to the curves. All these methods have been tested and compared using real electricity consumption data for households in France.

    Release date: 2018-12-20
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