Running command: translateModel(Buildings.Controls.Predictors.Validation.ConstantInputDayOfAdjustment,tolerance=1e-06,outputFormat="empty",numberOfIntervals=5000,variableFilter="",fileNamePrefix="Buildings_latest_Buildings.Controls.Predictors.Validation.ConstantInputDayOfAdjustment") Notification: Performance of loadModel(Buildings): time 4.15/4.15, allocations: 464.6 MB / 476.8 MB, free: 2.129 MB / 378.7 MB Notification: Performance of FrontEnd - loaded program: time 3.135e-05/3.145e-05, allocations: 4 kB / 0.5731 GB, free: 5.746 MB / 458.7 MB Notification: Performance of FrontEnd - Absyn->SCode: time 0.2039/0.204, allocations: 107.2 MB / 0.6777 GB, free: 10.39 MB / 0.5573 GB Notification: Performance of FrontEnd - scodeFlatten: time 0.9156/1.12, allocations: 138.1 MB / 0.8126 GB, free: 12.43 MB / 0.6355 GB Notification: Performance of FrontEnd - mkProgramGraph: time 0.0002174/1.12, allocations: 82.52 kB / 0.8127 GB, free: 12.43 MB / 0.6355 GB Notification: Performance of FrontEnd - DAE generated: time 0.1056/1.226, allocations: 36.55 MB / 0.8484 GB, free: 12.33 MB / 0.6511 GB Notification: Performance of FrontEnd: time 2.176e-06/1.226, allocations: 0 / 0.8484 GB, free: 12.33 MB / 0.6511 GB Notification: Performance of Transformations before backend: time 0.0001126/1.226, allocations: 64 kB / 0.8484 GB, free: 12.27 MB / 0.6511 GB Notification: Model statistics after passing the front-end and creating the data structures used by the back-end: * Number of equations: 1085 * Number of variables: 1085 Notification: Performance of Generate backend data structure: time 0.006764/1.232, allocations: 3.521 MB / 0.8519 GB, free: 9.062 MB / 0.6511 GB Notification: Performance of prepare preOptimizeDAE: time 4.354e-05/1.233, allocations: 8.031 kB / 0.8519 GB, free: 9.055 MB / 0.6511 GB Notification: Performance of preOpt normalInlineFunction (simulation): time 0.0007675/1.233, allocations: 347.8 kB / 0.8522 GB, free: 8.711 MB / 0.6511 GB Notification: Performance of preOpt evaluateParameters (simulation): time 0.002935/1.236, allocations: 1.165 MB / 0.8533 GB, free: 7.602 MB / 0.6511 GB Notification: Performance of preOpt simplifyIfEquations (simulation): time 0.0002373/1.237, allocations: 241.9 kB / 0.8536 GB, free: 7.48 MB / 0.6511 GB Notification: Performance of preOpt expandDerOperator (simulation): time 0.0005588/1.237, allocations: 366.2 kB / 0.8539 GB, free: 7.238 MB / 0.6511 GB Error: An independent subset of the model has imbalanced number of equations (1071) and variables (63). variables: integrator.y integrator.u PCon.y notEventDay.y notEventDay.u dayType.skipIDayIncrement dayType.sampleTrigger dayType.iDay dayType.y[2] dayType.y[1] tri.pulseStart tri.y baseLoad.idxSam baseLoad.intTOutLast baseLoad.intTOut baseLoad.EHisAve baseLoad.EActAve baseLoad._storeHistory baseLoad._typeOfDay[12] baseLoad._typeOfDay[11] baseLoad._typeOfDay[10] baseLoad._typeOfDay[9] baseLoad._typeOfDay[8] baseLoad._typeOfDay[7] baseLoad._typeOfDay[6] baseLoad._typeOfDay[5] baseLoad._typeOfDay[4] baseLoad._typeOfDay[3] baseLoad._typeOfDay[2] baseLoad._typeOfDay[1] baseLoad.iSam[12] baseLoad.iSam[11] baseLoad.iSam[10] baseLoad.iSam[9] baseLoad.iSam[8] baseLoad.iSam[7] baseLoad.iSam[6] baseLoad.iSam[5] baseLoad.iSam[4] baseLoad.iSam[3] baseLoad.iSam[2] baseLoad.iSam[1] baseLoad.tLast baseLoad.ELast baseLoad.sampleTrigger baseLoad.PAve baseLoad.adj baseLoad.storeHistory baseLoad.typeOfDay[2] baseLoad.typeOfDay[1] baseLoad.PPre[12] baseLoad.PPre[11] baseLoad.PPre[10] baseLoad.PPre[9] baseLoad.PPre[8] baseLoad.PPre[7] baseLoad.PPre[6] baseLoad.PPre[5] baseLoad.PPre[4] baseLoad.PPre[3] baseLoad.PPre[2] baseLoad.PPre[1] baseLoad.ECon equations: 1 : baseLoad.sampleTrigger = sample(1, baseLoad.samStart, 3600.0) 2 : baseLoad.intTOut = 0.0 3 : algorithm when baseLoad.sampleTrigger then baseLoad._storeHistory := if not pre(baseLoad._storeHistory) and not Buildings.Controls.Predictors.ElectricalLoad$baseLoad.isMidNight(time) then false else baseLoad.storeHistory; baseLoad._typeOfDay := Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getTypeOfDays(time, {baseLoad.typeOfDay[1], baseLoad.typeOfDay[2]}, 3600.0, 12); baseLoad.idxSam := Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(-1 + baseLoad.iSam[1], 24); if baseLoad._storeHistory or pre(baseLoad._storeHistory) then if time - baseLoad.tLast > 1e-05 then baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam] := Buildings.Controls.Predictors.ElectricalLoad$baseLoad.incrementIndex(baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam], 10); if baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam] == 10 then baseLoad.historyComplete[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam] := true; end if; baseLoad.PAve := (baseLoad.ECon - baseLoad.ELast) / (time - baseLoad.tLast); baseLoad.P[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam,baseLoad.iHis[pre(baseLoad._typeOfDay[1]),baseLoad.idxSam]] := baseLoad.PAve; end if; end if; baseLoad.ELast := baseLoad.ECon; baseLoad.intTOutLast := baseLoad.intTOut; baseLoad.tLast := time; for m in 1:12 loop baseLoad.PPre[m] := Buildings.Controls.Predictors.BaseClasses.average({baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],1], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],2], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],3], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],4], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],5], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],6], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],7], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],8], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],9], baseLoad.P[baseLoad._typeOfDay[m],baseLoad.iSam[m],10]}, if baseLoad.historyComplete[baseLoad._typeOfDay[m],baseLoad.iSam[m]] then 10 else baseLoad.iHis[baseLoad._typeOfDay[m],baseLoad.iSam[m]]); end for; if baseLoad._storeHistory or pre(baseLoad._storeHistory) then baseLoad.PPreHis[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(1 + baseLoad.idxSam, 24)] := baseLoad.PPre[1]; baseLoad.PPreHisSet[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(1 + baseLoad.idxSam, 24)] := baseLoad.iHis[baseLoad._typeOfDay[1],baseLoad.iSam[1]] > 0; end if; baseLoad.EHisAve := 0.0; baseLoad.EActAve := 0.0; for i in -4:-2 loop if Modelica.Math.BooleanVectors.allTrue({baseLoad.PPreHisSet[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(baseLoad.iSam[1] + -4, 24)], baseLoad.PPreHisSet[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(baseLoad.iSam[1] + -3, 24)], baseLoad.PPreHisSet[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(baseLoad.iSam[1] + -2, 24)]}) then baseLoad.EHisAve := baseLoad.EHisAve + 3600.0 * baseLoad.PPreHis[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(1 + baseLoad.idxSam + i, 24)]; baseLoad.EActAve := baseLoad.EActAve + 3600.0 * baseLoad.P[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(1 + baseLoad.idxSam + i, 24),baseLoad.iHis[baseLoad._typeOfDay[1],Buildings.Controls.Predictors.ElectricalLoad$baseLoad.getIndex(1 + baseLoad.idxSam + i, 24)]]; else baseLoad.EHisAve := 0.0; baseLoad.EActAve := 0.0; end if; end for; if baseLoad.EHisAve > 1e-15 or baseLoad.EHisAve < -1e-15 then baseLoad.adj := min(baseLoad.maxAdjFac, max(baseLoad.minAdjFac, baseLoad.EActAve / baseLoad.EHisAve)); else baseLoad.adj := 1.0; end if; baseLoad.PPre[:] := {baseLoad.PPre[1] * baseLoad.adj, baseLoad.PPre[2] * baseLoad.adj, baseLoad.PPre[3] * baseLoad.adj, baseLoad.PPre[4] * baseLoad.adj, baseLoad.PPre[5] * baseLoad.adj, baseLoad.PPre[6] * baseLoad.adj, baseLoad.PPre[7] * baseLoad.adj, baseLoad.PPre[8] * baseLoad.adj, baseLoad.PPre[9] * baseLoad.adj, baseLoad.PPre[10] * baseLoad.adj, baseLoad.PPre[11] * baseLoad.adj, baseLoad.PPre[12] * baseLoad.adj}; for i in 1:12 loop baseLoad.iSam[i] := Buildings.Controls.Predictors.ElectricalLoad$baseLoad.incrementIndex(baseLoad.iSam[i], 24); end for; end when; 4 : tri.y = time >= tri.pulseStart and time < tri.pulseStart + tri.Twidth 5 : dayType.y[1] = dayType.days[1 + mod(-1 + dayType.iDay, 7)] 6 : dayType.y[2] = dayType.days[1 + mod(dayType.iDay, 7)] 7 : dayType.sampleTrigger = sample(3, dayType.firstSample, dayType.samplePeriod) 8 : notEventDay.y = not notEventDay.u 9 : PCon.y = PCon.k 10 : der(integrator.y) = integrator.k * integrator.u 11 : PCon.y = integrator.u 12 : baseLoad.ECon = integrator.y 13 : notEventDay.u = tri.y 14 : baseLoad.storeHistory = notEventDay.y 15 : baseLoad.typeOfDay[1] = dayType.y[1] 16 : baseLoad.typeOfDay[2] = dayType.y[2] 17 : when dayType.sampleTrigger then dayType.skipIDayIncrement := false; end when; 18 : when dayType.sampleTrigger then dayType.iDay := if pre(dayType.skipIDayIncrement) then pre(dayType.iDay) else 1 + mod(pre(dayType.iDay), 7); end when; 19 : when sample(2, tri.startTime, tri.period) then tri.pulseStart := time; end when; Notification: Performance of preOpt clockPartitioning (simulation) : time 0.003003/1.24, allocations: 1.699 MB / 0.8556 GB, free: 5.762 MB / 0.6511 GB Error: pre-optimization module clockPartitioning (simulation) failed.