A generalized flow for B2B sales predictive modeling: An azure machine-learning approach
A Rezazadeh - Forecasting, 2020 - mdpi.com
Predicting the outcome of sales opportunities is a core part of successful business
management. Conventionally, undertaking this prediction has relied mostly on subjective …
management. Conventionally, undertaking this prediction has relied mostly on subjective …
Solar disaggregation: State of the art and open challenges
X Chen, O Ardakanian - Proceedings of the 5th International Workshop …, 2020 - dl.acm.org
Disaggregating solar power from net meter data has got traction in recent years as utility
companies are seeking ways to identify behind-the-meter solar photovoltaics, improve their …
companies are seeking ways to identify behind-the-meter solar photovoltaics, improve their …
Distribution system state estimation using PV separation strategy in LV feeders with high levels of unmonitored PV generation
Distribution system state estimation (DSSE) is a critical analysis tool for active distribution
networks (DNs). Unlike weighted least squares techniques, which are static DSSE methods …
networks (DNs). Unlike weighted least squares techniques, which are static DSSE methods …
A novel data-driven method for behind-the-meter solar generation disaggregation with cross-iteration refinement
Photovoltaic (PV) generation is increasing in distribution systems following policies and
incentives to promote zero-carbon emission societies. Most residential PV systems are …
incentives to promote zero-carbon emission societies. Most residential PV systems are …
Unsupervised disaggregation of aggregated net load considering behind-the-meter PV based on virtual PV sample construction
Most of the distributed photovoltaics (PV) are installed behind the meter (BTM), single-meter
deployments permit distribution system operators to monitor only the net load and exclude …
deployments permit distribution system operators to monitor only the net load and exclude …
A data-driven democratized control architecture for regional transmission operators
As probably the most complicated and critical infrastructure system, US power grids become
increasingly vulnerable to extreme events such as cyber-attacks and severe weather, as …
increasingly vulnerable to extreme events such as cyber-attacks and severe weather, as …
Photovoltaic output power estimation and baseline prediction approach for a residential distribution network with behind-the-meter systems
Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a
great challenge to implement effective demand response projects and make a precise …
great challenge to implement effective demand response projects and make a precise …
Data efficient energy disaggregation with behind-the-meter energy resources
X Chen, O Ardakanian - Sustainable Energy, Grids and Networks, 2022 - Elsevier
The deployment of behind-the-meter energy resources is set to increase in the next decade.
Yet, utilities are not ready to safely manage these resources owing to the lack of visibility into …
Yet, utilities are not ready to safely manage these resources owing to the lack of visibility into …
A novel non-intrusive framework for real-time disaggregation of behind-the-meter solar generation from smart meter data
As the number of behind-the-meter (BTM) photovoltaic (PV) modules installed in residential
premises increases, it is important to develop a non-intrusive framework for the real-time …
premises increases, it is important to develop a non-intrusive framework for the real-time …
Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models
The increasing penetration of solar PhotoVoltaic (PV) panels in residential markets is
leading to increasing solar generation hidden behind metering instruments of utility …
leading to increasing solar generation hidden behind metering instruments of utility …