Python save_basic_results Examples

Example #1

File: Simple_Energy_Model.py Project: truggles/SEM-1.2

try:
    copy2(case_input_path_filename, output_folder)
except:
    print(
        'case input file ' + case_input_path_filename +
        ' not copied. Perhaps it does not exist. Perhaps it is open and cannot be overwritten.'
    )

# -----------------------------------------------------------------------------

print('Simple_Energy_Model: Executing core model loop')
core_model_loop(global_dic, case_dic_list)

print('Simple_Energy_Model: Saving basic results')
# Note that results for individual cases are output from core_model_loop
save_basic_results(global_dic, case_dic_list)

# -----------------------------------------------------------------------------

# copy the Gurobi log file to the output folder
#   The Verbose field in SOLVE function in CORE_MODEL.PY determined if a gurobi.log is generated.
#   delete the gurobi log to eliminate cumulations from previous runs.

if os.path.exists("./gurobi.log"):
    copy2("./gurobi.log", output_folder)
    try:
        os.remove("./gurobi.log")
    except:
        print('gurboi.log not erased')

# -----------------------------------------------------------------------------

Example #2

File: Simple_Energy_Model.py Project: d-farnham/SEM-1.1-defunct

output_folder = global_dic['OUTPUT_PATH'] + '/' + global_dic['GLOBAL_NAME']

if not os.path.exists(output_folder):
    os.makedirs(output_folder)

copy2(case_input_path_filename, output_folder)

# -----------------------------------------------------------------------------

print('Simple_Energy_Model: Executing core model loop')
core_model_loop(global_dic, case_dic_list)

print('Simple_Energy_Model: Saving basic results')
# Note that results for individual cases are output from core_model_loop
scalar_names, scalar_table = save_basic_results(global_dic, case_dic_list)

# -----------------------------------------------------------------------------

# copy the Gurobi log file to the output folder
#   The Verbose field in SOLVE function in CORE_MODEL.PY determined if a gurobi.log is generated.
#   delete the gurobi log to eliminate cumulations from previous runs.

if os.path.exists("./gurobi.log"):
    copy2("./gurobi.log", output_folder)
    os.remove("./gurobi.log")

# -----------------------------------------------------------------------------

if global_dic['POSTPROCESS']:
    print('Simple_Energy_Model: Post-processing results')

Example #3

File: Script_Model.py Project: ClabEnergyProject/Energy_Code_Repository

#        'nate2_battery',
#        'nate2_solar'
#         'test_bat'
#        'test3'
        ]
# =============================================================================
for case_switch in case_list:
    
    file_info, time_series, assumption_list = preprocess_input(
        root_directory,
        case_switch,
        hour_simulation_start,
        hours_of_simulation,
        verbose
        )  

    result_list = core_model_loop (
        time_series,
        assumption_list,
        verbose
        )

    scalar_names,scalar_table = save_basic_results(
        file_info,
        time_series,
        assumption_list,
        result_list,
        verbose)
    if switch_postprocess == True:
        post_process(file_info)

Example #4

case_dic,tech_list = preprocess_input(case_input_path_filename)

# -----------------------------------------------------------------------------

# copy the input data file to the output folder

output_folder = case_dic['output_path'] + '/' + case_dic['case_name']

if not os.path.exists(output_folder):
    os.makedirs(output_folder)
    
try:
    copy2(case_input_path_filename, output_folder)
except:
    print ('case input file '+case_input_path_filename+' not copied. Perhaps it does not exist. Perhaps it is open and cannot be overwritten.')

# -----------------------------------------------------------------------------

print ('Macro_Energy_Model: Executing core model')
#global_results_dic, decision_dic_list = core_model (case_dic, tech_list)
constraint_list,cvxpy_constraints,cvxpy_prob,cvxpy_capacity_dic,cvxpy_dispatch_dic    = core_model (case_dic, tech_list)

# constraints,prob,capacity_dic,dispatch_dic = extract_cvxpy_output(cvxpy_constraints,cvxpy_prob,cvxpy_capacity_dic,cvxpy_dispatch_dic )
prob_dic,capacity_dic,dispatch_dic = extract_cvxpy_output(case_dic,tech_list,constraint_list,
                cvxpy_constraints,cvxpy_prob,cvxpy_capacity_dic,cvxpy_dispatch_dic )

print ('Simple_Energy_Model: Saving basic results')
# Note that results for individual cases are output from core_model_loop
case,tech,time = save_basic_results(case_dic, tech_list, cvxpy_constraints,prob_dic,capacity_dic,dispatch_dic)