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Published in 2020 at "Statistics and Computing"
DOI: 10.1007/s11222-020-09930-0
Abstract: The sum of forecasts of disaggregated time series is often required to equal the forecast of the aggregate, giving a set of coherent forecasts. The least squares solution for finding coherent forecasts uses a reconciliation…
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Keywords:
algorithm;
reconciliation;
coherent forecasts;
non negative ... See more keywords
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Published in 2021 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106637
Abstract: Abstract Increasing digitization of the electric power sector allows to further rethink forecasting problems that are crucial input to decision-making. Among other modern challenges, ensuring coherency of forecasts among various agents and at various aggregation…
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Keywords:
reconciliation wind;
reconciliation;
power;
online forecast ... See more keywords
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Published in 2021 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2020.06.004
Abstract: Abstract A geometric interpretation is developed for so-called reconciliation methodologies used to forecast time series that adhere to known linear constraints. In particular, a general framework is established that nests many existing popular reconciliation methods…
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Keywords:
reconciliation geometric;
reconciliation;
forecast;
bias correction ... See more keywords
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Published in 2017 at "Solar Energy"
DOI: 10.1016/j.solener.2017.02.010
Abstract: Abstract To integrate solar energy into the electricity grid reliably and efficiently, different forecasting techniques are used to produce forecasts at various forecast horizons using data of different levels of aggregation. For example, power generated…
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Keywords:
base forecasts;
reconciliation;
hierarchy;
geographical hierarchy ... See more keywords