Metadata-Version: 1.1
Name: eemeter
Version: 2.2.2
Summary: Open Energy Efficiency Meter
Home-page: http://github.com/openeemeter/eemeter
Author: Phil Ngo
Author-email: admin@openee.io
License: Apache 2.0
Description: 
        EEmeter: tools for calculating metered energy savings
        =====================================================
        
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          :alt: Build Status
        
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          :alt: License
        
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        ---------------
        
        **EEmeter** — an open source toolkit for implementing and developing standard
        methods for calculating normalized metered energy consumption (NMEC) and
        avoided energy use.
        
        Background - why use the EEMeter library
        ----------------------------------------
        
        At time of writing (Sept 2018), the OpenEEmeter, as implemented in the eemeter
        package and sister :any:`eeweather <eeweather:index>` package, contains the
        most complete open source implementation of the
        `CalTRACK Methods <https://caltrack.org/>`_, which
        specify a family of ways to calculate and aggregate estimates avoided energy
        use at a single meter particularly suitable for use in pay-for-performance
        (P4P) programs.
        
        The eemeter package contains a toolkit written in the python langage which may
        help in implementing a CalTRACK compliant analysis (see :ref:`caltrack-compliance`).
        It contains a modular set of of functions, parameters, and classes which can be
        configured to run the CalTRACK methods and close variants.
        
        .. note::
        
            Please keep in mind that use of the OpenEEmeter is neither necessary nor
            sufficient for compliance with the CalTRACK method specification. For example,
            while the CalTRACK methods set specific hard limits for the purpose of
            standardization and consistency, the EEmeter library can be configured to edit
            or entirely ignore those limits. This is becuase the emeter package is used not
            only for compliance with, but also for *development of* the CalTRACK methods.
        
            Please also keep in mind that the EEmeter assumes that certain data cleaning
            tasks specified in the CalTRACK methods have occurred prior to usage with the
            eemeter. The package proactively exposes warnings to point out issues of this
            nature where possible.
        
        Installation
        ------------
        
        EEmeter is a python package and can be installed with pip.
        
        ::
        
            $ pip install eemeter
        
        Features
        --------
        
        - Reference implementation of standard methods
        
          - CalTRACK Daily Method
          - CalTRACK Monthly Billing Method
          - CalTRACK Hourly Method
        
        - Flexible sources of temperature data. See `EEweather <https://eeweather.readthedocs.io>`_.
        - Candidate model selection
        - Data sufficiency checking
        - Model serialization
        - First-class warnings reporting
        - Pandas dataframe support
        - Visualization tools
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
