64 citations
- Global Energy Interconnection Research Institute North AmericaUS2 papers
- ETH ZurichCH1 paper
- Imperial College LondonGB1 paper
- L3S Research CenterDE1 paper
- National Grid (United Kingdom)GB1 paper
- Power Grid Corporation (India)IN1 paper
- Province of AntwerpBE1 paper
- RMIT UniversityAU1 paper
- University of Nebraska–LincolnUS1 paper
- University of VermontUS1 paper
7 papers
ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness
Dren Fazlija, Arkadij Orlov, Sandipan Sikdar
Large language models (LLMs) are increasingly becoming valuable to corporate data management due to their ability to process text from various document formats and facilitate user…
Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area
Jemima Graham, Evelyn Heylen, Yuankai Bian +1
This paper investigates the performance of a day-ahead explanatory model for inertia forecasting based on field data in the Nordic system, which achieves a 43% reduction in mean ab…
Enhancement of Power Equipment Management Using Knowledge Graph
Yachen Tang, Tingting Liu, Guangyi Liu +3
Accurate retrieval of the power equipment information plays an important role in guiding the full-lifecycle management of power system assets. Because of data duplication, database…
Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis
Yayu Peng, Yishen Wang, Xiao Lu +4
Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems. Though many STLF methods were proposed over the past decades, most of them…
Substation Signal Matching with a Bagged Token Classifier
Qin Wang, Sandro Schoenborn, Yvonne-Anne Pignolet +2
Currently, engineers at substation service providers match customer data with the corresponding internally used signal names manually. This paper proposes a machine learning method…
Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems
Goodarz Ghanavati, Paul D. H. Hines, Taras I. Lakoba
Prior research has shown that autocorrelation and variance in voltage measurements tend to increase as power systems approach instability. This paper seeks to identify the conditio…