東京電力／過去30日の電力使用状況（各日18時台）

gistfile1.scala

// see also https://github.com/seratch/yahoo-setsuden-api-client

// invoke Scala REPL
// scala -cp yahoo-setsuden-api-client*:joda-time*

import com.github.seratch.yahooapis.setsuden.scala._
import request._
import response._
import org.joda.time.LocalDate

val applicationId = "*****"
val client = new SetsudenYahooApiClient(applicationId)
val today = new LocalDate
val dayOfWeek = Map(1 -> "Mon", 2 -> "Tue", 3 -> "Web", 4 -> "Thu", 5 -> "Fri", 6 -> "Sat", 7 -> "Sun")
(1 to 30).reverse foreach {
  daysAgo => {
    val day = today.minusDays(daysAgo)
    val yyyymmddhh = "2011" + "%02d".format(day.monthOfYear.get) + "%02d".format(day.dayOfMonth.get) + "18"
    val dow = dayOfWeek.get(day.dayOfWeek.get).get
    val result = client.getLatestPowerUsage(RequestParameters(yyyymmddhh = yyyymmddhh)).electricPowerUsage
    val usage = result.usageKilowattPerHour
    val capacity = result.capacityKilowattPerHour
    println(yyyymmddhh + "(" + dow + ") : " + usage + " / " + capacity + " -> " + "%.1f".format(usage.doubleValue/capacity*100) + "%")
  }
}

// result

/*
2011032518(Fri) : 34800000 / 37500000 -> 92.8%
2011032618(Sat) : 34330000 / 37000000 -> 92.8%
2011032718(Sun) : 33710000 / 37000000 -> 91.1%
2011032818(Mon) : 34900000 / 38500000 -> 90.6%
2011032918(Tue) : 33680000 / 38000000 -> 88.6%
2011033018(Web) : 33200000 / 38000000 -> 87.4%
2011033118(Thu) : 33880000 / 37500000 -> 90.3%
2011040118(Fri) : 32980000 / 37500000 -> 87.9%
2011040218(Sat) : 30650000 / 36500000 -> 84.0%
2011040318(Sun) : 33030000 / 36500000 -> 90.5%
2011040418(Mon) : 35180000 / 38500000 -> 91.4%
2011040518(Tue) : 34260000 / 39500000 -> 86.7%
2011040618(Web) : 33160000 / 40500000 -> 81.9%
2011040718(Thu) : 32950000 / 39500000 -> 83.4%
2011040818(Fri) : 32760000 / 38000000 -> 86.2%
2011040918(Sat) : 31550000 / 37500000 -> 84.1%
2011041018(Sun) : 30010000 / 39500000 -> 76.0%
2011041118(Mon) : 33260000 / 42500000 -> 78.3%
2011041218(Tue) : 34070000 / 41000000 -> 83.1%
2011041318(Web) : 33040000 / 41500000 -> 79.6%
2011041418(Thu) : 32800000 / 40000000 -> 82.0%
2011041518(Fri) : 32690000 / 40000000 -> 81.7%
2011041618(Sat) : 30000000 / 37500000 -> 80.0%
2011041718(Sun) : 29740000 / 37000000 -> 80.4%
2011041818(Mon) : 33570000 / 41000000 -> 81.9%
2011041918(Tue) : 35750000 / 40500000 -> 88.3%
2011042018(Web) : 34230000 / 41000000 -> 83.5%
2011042118(Thu) : 34870000 / 40000000 -> 87.2%
2011042218(Fri) : 33650000 / 38500000 -> 87.4%
2011042318(Sat) : 31650000 / 35000000 -> 90.4%
*/