max-mrg.h

/*
 * Copyright 2007-2025, RTE (https://www.rte-france.com)
 * See AUTHORS.txt
 * SPDX-License-Identifier: MPL-2.0
 * This file is part of Antares-Simulator,
 * Adequacy and Performance assessment for interconnected energy networks.
 *
 * Antares_Simulator is free software: you can redistribute it and/or modify
 * it under the terms of the Mozilla Public Licence 2.0 as published by
 * the Mozilla Foundation, either version 2 of the License, or
 * (at your option) any later version.
 *
 * Antares_Simulator is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
 * Mozilla Public Licence 2.0 for more details.
 *
 * You should have received a copy of the Mozilla Public Licence 2.0
 * along with Antares_Simulator. If not, see <https://opensource.org/license/mpl-2-0/>.
 */
#ifndef __SOLVER_VARIABLE_ECONOMY_MARGE_H__
#define __SOLVER_VARIABLE_ECONOMY_MARGE_H__
 
#include "antares/solver/variable/variable.h"
 
#include "max-mrg-utils.h"
 
namespace Antares::Solver::Variable::Economy
{
struct VCardMARGE
{
    static std::string Caption()
    {
        return "MAX MRG";
    }
 
    static std::string Unit()
    {
        return "MWh";
    }
 
    static std::string Description()
    {
        return "Maximum margin throughout all MC years";
    }
 
    typedef Results<R::AllYears::Average< // The average values throughout all years
      R::AllYears::StdDeviation<          // The standard deviation values throughout all years
        R::AllYears::Min<                 // The minimum values throughout all years
          R::AllYears::Max<               // The maximum values throughout all years
            >>>>>
      ResultsType;
 
    typedef VCardMARGE VCardForSpatialAggregate;
 
    static constexpr uint8_t categoryDataLevel = Category::DataLevel::area;
    static constexpr uint8_t categoryFileLevel = ResultsType::categoryFile
                                                 & (Category::FileLevel::id
                                                    | Category::FileLevel::va);
    static constexpr uint8_t precision = Category::all;
    static constexpr uint8_t nodeDepthForGUI = +0;
    static constexpr uint8_t decimal = 0;
    static constexpr int columnCount = 1;
    static constexpr uint8_t spatialAggregate = Category::spatialAggregateSum;
    static constexpr uint8_t spatialAggregateMode = Category::spatialAggregateEachYear;
    static constexpr uint8_t spatialAggregatePostProcessing = 0;
    static constexpr uint8_t hasIntermediateValues = 1;
    static constexpr uint8_t isPossiblyNonApplicable = 0;
 
    typedef IntermediateValues IntermediateValuesBaseType;
    typedef std::vector<IntermediateValues> IntermediateValuesType;
 
    using IntermediateValuesTypeForSpatialAg = std::unique_ptr<IntermediateValuesBaseType[]>;
 
}; // class VCard
 
template<class NextT = Container::EndOfList>
class Marge: public Variable::IVariable<Marge<NextT>, NextT, VCardMARGE>
{
public:
    typedef NextT NextType;
    typedef VCardMARGE VCardType;
    typedef Variable::IVariable<Marge<NextT>, NextT, VCardType> AncestorType;
 
    typedef typename VCardType::ResultsType ResultsType;
 
    typedef VariableAccessor<ResultsType, VCardType::columnCount> VariableAccessorType;
 
    enum
    {
        count = 1 + NextT::count,
    };
 
    template<int CDataLevel, int CFile>
    struct Statistics
    {
        enum
        {
            count = ((VCardType::categoryDataLevel & CDataLevel
                      && VCardType::categoryFileLevel & CFile)
                       ? (NextType::template Statistics<CDataLevel, CFile>::count
                          + VCardType::columnCount * ResultsType::count)
                       : NextType::template Statistics<CDataLevel, CFile>::count),
        };
    };
 
public:
    void initializeFromStudy(Data::Study& study)
    {
        pNbYearsParallel = study.maxNbYearsInParallel;
 
        // Intermediate values
        InitializeResultsFromStudy(AncestorType::pResults, study);
 
        pValuesForTheCurrentYear.resize(pNbYearsParallel);
        for (unsigned int numSpace = 0; numSpace < pNbYearsParallel; numSpace++)
        {
            pValuesForTheCurrentYear[numSpace].initializeFromStudy(study);
        }
 
        // Next
        NextType::initializeFromStudy(study);
    }
 
    template<class R>
    static void InitializeResultsFromStudy(R& results, Data::Study& study)
    {
        VariableAccessorType::InitializeAndReset(results, study);
    }
 
    void initializeFromArea(Data::Study* study, Data::Area* area)
    {
        // Next
        NextType::initializeFromArea(study, area);
    }
 
    void initializeFromLink(Data::Study* study, Data::AreaLink* link)
    {
        // Next
        NextType::initializeFromAreaLink(study, link);
    }
 
    void simulationBegin()
    {
        // Next
        NextType::simulationBegin();
    }
 
    void simulationEnd()
    {
        // Next
        NextType::simulationEnd();
    }
 
    void yearBegin(unsigned int year, unsigned int numSpace)
    {
        // Reset the values for the current year
        pValuesForTheCurrentYear[numSpace].reset();
        // Next variable
        NextType::yearBegin(year, numSpace);
    }
 
    void yearEndBuild(State& state, unsigned int year, unsigned int numSpace)
    {
        // Next variable
        NextType::yearEndBuild(state, year, numSpace);
    }
 
    void yearEnd(unsigned int year, unsigned int numSpace)
    {
        // Compute all statistics for the current year (daily,weekly,monthly)
        pValuesForTheCurrentYear[numSpace].computeStatisticsForTheCurrentYear();
 
        // Next variable
        NextType::yearEnd(year, numSpace);
    }
 
    void computeSummary(unsigned int year, unsigned int numSpace)
    {
        // Merge all those values with the global results
        AncestorType::pResults.merge(year, pValuesForTheCurrentYear[numSpace]);
 
        // Next variable
        NextType::computeSummary(year, numSpace);
    }
 
    void hourBegin(unsigned int hourInTheYear)
    {
        // Next variable
        NextType::hourBegin(hourInTheYear);
    }
 
    void hourForEachArea(State& state, unsigned int numSpace)
    {
        // Next variable
        NextType::hourForEachArea(state, numSpace);
    }
 
    void weekForEachArea(State& state, unsigned int numSpace)
    {
        double* rawhourly = Memory::RawPointer(pValuesForTheCurrentYear[numSpace].hour);
 
        // Getting data required to compute max margin
        MaxMrgUsualDataFactory maxMRGdataFactory(state, numSpace);
        MaxMRGinput maxMRGinput = maxMRGdataFactory.data();
        computeMaxMRG(rawhourly + state.hourInTheYear, maxMRGinput);
 
        // next
        NextType::weekForEachArea(state, numSpace);
    }
 
    Antares::Memory::Stored<double>::ConstReturnType retrieveRawHourlyValuesForCurrentYear(
      unsigned int,
      unsigned int numSpace) const
    {
        return pValuesForTheCurrentYear[numSpace].hour;
    }
 
    void localBuildAnnualSurveyReport(SurveyResults& results,
                                      int fileLevel,
                                      int precision,
                                      unsigned int numSpace) const
    {
        // Initializing external pointer on current variable non applicable status
        results.isCurrentVarNA = AncestorType::isNonApplicable;
 
        if (AncestorType::isPrinted[0])
        {
            // Write the data for the current year
            results.variableCaption = VCardType::Caption();
            results.variableUnit = VCardType::Unit();
            pValuesForTheCurrentYear[numSpace]
              .template buildAnnualSurveyReport<VCardType>(results, fileLevel, precision);
        }
    }
 
private:
    typename VCardType::IntermediateValuesType pValuesForTheCurrentYear;
    unsigned int pNbYearsParallel;
 
}; // class Marge
 
} // namespace Antares::Solver::Variable::Economy
 
#endif // __SOLVER_VARIABLE_ECONOMY_MARGE_H__