PIFTS - Density forecasts
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pifts.py
18
pifts.py
@ -166,7 +166,7 @@ class ProbabilisticIntervalFTS(ifts.IntervalFTS):
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def forecastAhead(self,data,steps):
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ret = [[data[k],data[k]] for k in np.arange(len(data)-self.order,len(data))]
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for k in np.arange(self.order,steps):
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if ret[-1][0] <= self.sets[0].lower and ret[-1][0] >= self.sets[-1].upper:
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if ret[-1][0] <= self.sets[0].lower and ret[-1][1] >= self.sets[-1].upper:
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ret.append(ret[-1])
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else:
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lower = self.forecast( [ret[x][0] for x in np.arange(k-self.order,k)] )
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@ -197,14 +197,16 @@ class ProbabilisticIntervalFTS(ifts.IntervalFTS):
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for k in np.arange(self.order,steps):
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grid = self.getGridClean(resolution)
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qt1st = self.forecast([intervals[x][0] + (intervals[x][1]-intervals[x][0])/4 for x in np.arange(k-self.order,k)] )
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qt2nd = self.forecast([intervals[x][0] + (intervals[x][1]-intervals[x][0])/2 for x in np.arange(k-self.order,k)] )
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qt3rd = self.forecast([intervals[x][1] - (intervals[x][1]-intervals[x][0])/4 for x in np.arange(k-self.order,k)] )
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grid = self.gridCount(grid,resolution, intervals[k])
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grid = self.gridCount(grid,resolution, np.ravel(qt1st))
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grid = self.gridCount(grid,resolution, np.ravel(qt2nd))
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grid = self.gridCount(grid,resolution, np.ravel(qt3rd))
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for qt in np.arange(1,50,2):
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#print(qt)
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qtle_lower = self.forecast([intervals[x][0] + qt*(intervals[x][1]-intervals[x][0])/100 for x in np.arange(k-self.order,k)] )
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grid = self.gridCount(grid,resolution, np.ravel(qtle_lower))
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qtle_upper = self.forecast([intervals[x][1] - qt*(intervals[x][1]-intervals[x][0])/100 for x in np.arange(k-self.order,k)] )
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grid = self.gridCount(grid,resolution, np.ravel(qtle_upper))
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qtle_mid = self.forecast([intervals[x][0] + (intervals[x][1]-intervals[x][0])/2 for x in np.arange(k-self.order,k)] )
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grid = self.gridCount(grid,resolution, np.ravel(qtle_mid))
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tmp = np.array([ grid[k] for k in sorted(grid) ])
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