A Comprehensive Review of Behind-the-Meter Distributed Energy Resources Load Forecasting: Models, Challenges, and Emerging Technologies
Behind the meter (BTM) distributed energy resources (DERs), such as photovoltaic (PV)
systems, battery energy storage systems (BESSs), and electric vehicle (EV) charging …
systems, battery energy storage systems (BESSs), and electric vehicle (EV) charging …
[HTML][HTML] Direct short-term net load forecasting in renewable integrated microgrids using machine learning: A comparative assessment
G Tziolis, J Lopez-Lorente, MI Baka, A Koumis… - … Energy, Grids and …, 2024 - Elsevier
Modern microgrids require accurate net load forecasting (NLF) for optimal operation and
management at high shares of renewable energy sources. Machine learning (ML) principles …
management at high shares of renewable energy sources. Machine learning (ML) principles …
Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles
ET Rizi, M Rastegar, A Forootani - Computers and Electrical Engineering, 2024 - Elsevier
Today, wind and solar energy sources have opened their place in the power system due to
their environmental appeal. With the presence of these renewable energy sources (RESs) …
their environmental appeal. With the presence of these renewable energy sources (RESs) …
Direct Against Indirect Short-Term Net Load Forecasting Using Machine Learning Principles for Renewable Microgrids
Net load forecasting (NLF) is a key component for the efficient operation and management of
microgrids at high shares of renewables. Depending on the forecasting strategy followed …
microgrids at high shares of renewables. Depending on the forecasting strategy followed …
Spatiotemporal Federated Learning Based Regional Distributed PV Ultra-short-term Power Forecasting Method
Accurate distributed photovoltaic power forecasting is crucial for both electricity retailers and
distribution network operators. Mining the rich correlations within distributed photovoltaic …
distribution network operators. Mining the rich correlations within distributed photovoltaic …
Unifying Load Disaggregation and Prediction for Buildings with Behind-the-Meter Solar
Y Zhou, M Wang - IEEE Transactions on Power Systems, 2024 - ieeexplore.ieee.org
Real-time building-level load forecasting is important for demand response and power
system planning. Behind-the-meter (BTM) solar generation in buildings is not directly …
system planning. Behind-the-meter (BTM) solar generation in buildings is not directly …
Integrating Solar Resources and Topology Estimation Modules in Industrial ADMS Environment
In contrast with traditional utility monitoring and operational tools, advanced distribution
management systems (ADMS) provide modern operational features to monitor, secure and …
management systems (ADMS) provide modern operational features to monitor, secure and …
A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-The-Meter Disaggregated Data
C Thepprom, N Nupairoj, P Vateekul - IEEE Access, 2024 - ieeexplore.ieee.org
Recently, distributed photovoltaic (PV) generation has increased significantly, leading to a
high penetration of behind-the-meter (BTM) solar generation systems. In this work, we aim to …
high penetration of behind-the-meter (BTM) solar generation systems. In this work, we aim to …
Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles
E Toghiany Rizi, M Rastegar, A Forootani - 2024 - dl.acm.org
Today, wind and solar energy sources have opened their place in the power system due to
their environmental appeal. With the presence of these renewable energy sources (RESs) …
their environmental appeal. With the presence of these renewable energy sources (RESs) …
Data-Driven Approaches to Forecasting in Energy Systems: Weather-Induced Outage Forecasting, Net Load Forecasting, and Solar Estimation
V Sharma - 2024 - search.proquest.com
In recent years, the global energy sector has been undergoing a significant transformation,
characterized by an increasing shift towards data-driven operations and the widespread …
characterized by an increasing shift towards data-driven operations and the widespread …