Dynamic safety thresholds as a measure to mitigate short-term load forecasting (STLF) errors for distribution system flexibility services

Short-term load forecasting (STLF) includes a level of uncertainty that complicates STLF applications in distribution management systems. From the distribution system operator's (DSO) perspective, forecast errors can lead to sub-optimal network control decisions with adverse impacts on asset safety or economic objectives. This paper examines MAE- and RMSE- optimized STLF and generation-dependent dynamic safety thresholds for peak load forecasts. It assesses their accuracy and effectiveness in handling forecast errors for substation congestion management in distribution networks.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.2219
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic safety thresholds as a measure to mitigate short-term load forecasting (STLF) errors for distribution system flexibility services

Peter Lusis, Oļegs Borščevskis, Adam Beilin, Armands Arājs
IET conference proceedings.
Energy Load and Power Forecasting
article

Dynamic safety thresholds as a measure to mitigate short-term load forecasting (STLF) errors for distribution system flexibility services

Peter Lusis, Oļegs Borščevskis, Adam Beilin, Armands Arājs
article en

Abstract

Short-term load forecasting (STLF) includes a level of uncertainty that complicates STLF applications in distribution management systems. From the distribution system operator's (DSO) perspective, forecast errors can lead to sub-optimal network control decisions with adverse impacts on asset safety or economic objectives. This paper examines MAE- and RMSE- optimized STLF and generation-dependent dynamic safety thresholds for peak load forecasts. It assesses their accuracy and effectiveness in handling forecast errors for substation congestion management in distribution networks.

IET conference proceedings.Vol. 2025(14)
State Education Development Agency (LV)
Openalex Percentile: Top 71%
Energy Load and Power Forecasting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.