henhuy

import itertools

import pandas as pd
import numpy as np
import plotly.graph_objects as go

RESULTS_FILE = "/industry_scratch.csv"

data = pd.read_csv(RESULTS_FILE, delimiter=";")

henhuy

from SPARQLWrapper import JSON, SPARQLWrapper2


DATABUS_ENDPOINT = "https://databus.openenergyplatform.org/sparql"


query = """
PREFIX rdfs:   <http://www.w3.org/2000/01/rdf-schema#>
PREFIX rdf:    <http://www.w3.org/1999/02/22-rdf-syntax-ns#>

henhuy

# -*- coding: utf-8 -*-

"""
General description
-------------------
This example shows how to perform a capacity optimization for
an energy system with storage. The following energy system is modeled:

.. code-block:: text

henhuy

import requests
from urllib.parse import quote


MOSS_URL = "http://moss.tools.dbpedia.org/annotation-api-demo/submit"
METADATA_URL = "https://openenergy-platform.org/api/v0/schema/model_draft/tables/umas_ninja_pv_country_de_merra_2_nuts_2_corrected/meta/"

DATABUS_ARTIFACT = "https://energy.databus.dbpedia.org/henhuy/AP4/modex_capacity_factor"
DATABUS_VERSION = "https://energy.databus.dbpedia.org/henhuy/AP4/modex_capacity_factor/v1"
DATABUS_DATA = "https://energy.databus.dbpedia.org/henhuy/AP4/modex_capacity_factor/v1/modex_capacity_factor_type=metadata.json"

henhuy

import abc
from typing import Union, List


class CalculationError(Exception):
    """Raised if something is wrong in calculation"""


class Calculator:
    def __init__(self, scalar_params, scalar_results, sequences_params, sequences_results):

henhuy

[tool.poetry]
name = "solphdep"
version = "0.1.0"
description = ""
authors = ["Henhuy <you@example.com>"]

[tool.poetry.dependencies]
python = "^3.7"
"oemof.solph" = "*"
oemoflex = { git = "https://git@github.com/rl-institut/oemoflex", branch = "dev"}

henhuy

import requests
import json
import ijson
import rapidjson
import simplejson

CONNECTOR_URL = "https://modex.rl-institut.de/scenario/id/"
SCENARIO_ID = 42