2015 IEEE Power &Amp; Energy Society General Meeting 2015
DOI: 10.1109/pesgm.2015.7286602
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Ultra-short-term load forecasting using robust exponentially weighted method in distribution networks

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Cited by 4 publications
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“…Single power supply users include 10 kV public DTs (including subordinate low‐voltage user) and single power supply dedicated DT users. Using historical load and weather data, we can construct short‐term DT load forecast model [9, 10], and the load curve of DT P ( t ) under normal running condition during outage time period can be obtained (using weather forecast or real data as input). The power loss is calculated by integrating P ( t ) within the power failure time windowLQ normal_S = t 1 t 2 P ( t ) thickmathspaced t…”
Section: Fault Outage Cost Evaluationmentioning
confidence: 99%
“…Single power supply users include 10 kV public DTs (including subordinate low‐voltage user) and single power supply dedicated DT users. Using historical load and weather data, we can construct short‐term DT load forecast model [9, 10], and the load curve of DT P ( t ) under normal running condition during outage time period can be obtained (using weather forecast or real data as input). The power loss is calculated by integrating P ( t ) within the power failure time windowLQ normal_S = t 1 t 2 P ( t ) thickmathspaced t…”
Section: Fault Outage Cost Evaluationmentioning
confidence: 99%