dados <- structure(
list(data = structure(c(16953, 17167, 17532), class = "Date"),
ano = c(2016, 2017, 2018),
mes = c(6, 1, 1),
nome_4md = c("RORAIMA", "RORAIMA", "RORAIMA"),
subsistema = c("MAN", "MAN", "MAN"),
uf = c("RR", "RR", "RR"),
segmento = c("residencial", "residencial", "comercial_at"),
fonte_resumo = c("Fotovoltaica", "Fotovoltaica", "Fotovoltaica"),
energia_mwh = c(0.14901698211027, 0.31989258307487, 21.4846247221392),
energia_autoc_mwh = c(0.0596067928441078, 0.127957033229948,
17.1876997777114),
energia_inj_mwh = c(0.0894101892661617, 0.191935549844922,
4.29692494442784),
energia_mwmed = c(Jun = 0.000206968030708708, Jan = 0.00042996314929418,
Jan = 0.0288771837663161),
pot_mes_mw = c(0.00297, 0, 0),
adotantes_mes = c(1, 0, 0),
p = c(1e-04, 1e-04, 0.000122345127598721),
q = c(0.779421829099793, 0.779421829099793, 1),
regiao = c("N", "N", "N")),
row.names = c(NA, -3L),
class = c("tbl_df", "tbl", "data.frame")
)
graf_pot_segmento <- epe4md_graf_pot_segmento(
dados = dados,
ano_inicio = 2013,
tamanho = 14
)
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