[HTML][HTML] A systematic review of data analytics applications in above-ground geothermal energy operations

PMB Abrasaldo, SJ Zarrouk… - … and Sustainable Energy …, 2024 - Elsevier
The advent of reliable and inexpensive sensors and advancements in general computing
have made data-heavy algorithms feasible for operational, real-time decision-making …

Reinforcement learning for sustainable energy: A survey

K Ponse, F Kleuker, M Fejér, Á Serra-Gómez… - arXiv preprint arXiv …, 2024 - arxiv.org
The transition to sustainable energy is a key challenge of our time, requiring modifications in
the entire pipeline of energy production, storage, transmission, and consumption. At every …

[HTML][HTML] Detection of abnormal operation in geothermal binary plant feed pumps using time-series analytics

PMB Abrasaldo, SJ Zarrouk, A Mudie, J Cen… - Expert Systems with …, 2024 - Elsevier
In this study, we investigate potential pump cavitation events in circulating feed pumps
deployed in a geothermal binary power plant using feature-based time series analytics and …

Detection of abnormal operation in geothermal binary plant feed pumps using time-series analytics

P Michael B. Abrasaldo, SJ Zarrouk, A Mudie, J Cen… - 2024 - dl.acm.org
In this study, we investigate potential pump cavitation events in circulating feed pumps
deployed in a geothermal binary power plant using feature-based time series analytics and …

[PDF][PDF] Detecting Abnormal Events in Geothermal Power Plant Time-Series Data Using a Semi-Supervised Machine Learning Approach

PMB Abrasaldo, SJ Zarrouk, AW Kempa-Liehr, A Mudie… - 2023 - researchgate.net
The geothermal energy industry has seen exponential growth in the amount of operational
data produced from geothermal sites across the globe with the continuous advancements in …