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Flexible Ramp Products: A solution to enhance power system flexibility

Renewable & sustainable energy reviews, 2022-07, Vol.162, p.112429, Article 112429

2022

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An unsupervised data-driven approach for behind-the-meter photovoltaic power generation disaggregation

Applied energy, 2022-03, Vol.309, p.118450, Article 118450

2022

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Gumbel copula based aggregated net load forecasting for modern power systems

IET generation, transmission & distribution, 2018-10, Vol.12 (19), p.4348-4358

2018

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A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-the-Meter Disaggregated Data

IEEE access, 2024, Vol.12, p.94958-94971

2024

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Mitigation of distribution system net‐load ramping using multi‐microgrid system

International transactions on electrical energy systems, 2020-03, Vol.30 (3), p.n/a

2020

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Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting

IEEE transactions on power systems, 2020-01, Vol.35 (1), p.188-201

2020

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Data-Driven Probabilistic Net Load Forecasting With High Penetration of Behind-the-Meter PV

IEEE transactions on power systems, 2018-05, Vol.33 (3), p.3255-3264

2018

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Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation

Applied energy, 2019-11, Vol.253, p.113595, Article 113595

2019

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Multi-energy net load forecasting for integrated local energy systems with heterogeneous prosumers

International journal of electrical power & energy systems, 2021-03, Vol.126, p.106542, Article 106542

2021

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PV-Load Decoupling Based Demand Response Baseline Load Estimation Approach for Residential Customer With Distributed PV System

IEEE transactions on industry applications, 2020-11, Vol.56 (6), p.6128-6137

2020

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Probabilistic Forecasting of Regional Net-Load With Conditional Extremes and Gridded NWP

IEEE transactions on smart grid, 2021-11, Vol.12 (6), p.5011-5019

2021

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Highly accurate peak and valley prediction short-term net load forecasting approach based on decomposition for power systems with high PV penetration

Applied energy, 2023-03, Vol.333, p.120641, Article 120641

2023

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Short-term electric net load forecasting for solar-integrated distribution systems based on Bayesian neural networks and statistical post-processing

Energy (Oxford), 2023-05, Vol.271, p.127018, Article 127018

2023

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Scalable optimization approaches for microgrid operation under stochastic islanding and net load

Applied energy, 2024-11, Vol.374, p.124040, Article 124040

2024

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A reforecasting-based dynamic reserve estimation for variable renewable generation and demand uncertainty

Electric power systems research, 2022-10, Vol.211 (C), p.108157, Article 108157

2022

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Adaptive Probabilistic Forecasting of Electricity (Net-)Load

IEEE transactions on power systems, 2024-03, Vol.39 (2), p.1-10

2024

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Net-load forecasting of renewable energy systems using multi-input LSTM fuzzy and discrete wavelet transform

Energy (Oxford), 2023-07, Vol.275, p.127425, Article 127425

2023

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Joint Estimation of Behind-the-Meter Solar Generation in a Community

IEEE transactions on sustainable energy, 2021-01, Vol.12 (1), p.682-694

2021

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Net load forecasting for high renewable energy penetration grids

Energy (Oxford), 2016-11, Vol.114, p.1073-1084

2016

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Probabilistic forecasting of solar power, electricity consumption and net load: Investigating the effect of seasons, aggregation and penetration on prediction intervals

Solar energy, 2018-09, Vol.171, p.397-413

2018

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A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration

Energy (Oxford), 2020-08, Vol.205, p.118106, Article 118106

2020

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Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method

Renewable energy, 2024-05, Vol.225, p.120253, Article 120253

2024

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FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates

IEEE transactions on smart grid, 2022-05, Vol.13 (3), p.2440-2451

2022

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An improved encoder-decoder-based CNN model for probabilistic short-term load and PV forecasting

Electric power systems research, 2023-04, Vol.217, p.109153, Article 109153

2023

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Risk-limiting dispatching strategy considering demand response in multi-energy microgrids

Applied energy, 2024-01, Vol.353, p.122088, Article 122088

2024

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Flexible Ramp Products: A solution to enhance power system flexibility

An unsupervised data-driven approach for behind-the-meter photovoltaic power generation disaggregation

Gumbel copula based aggregated net load forecasting for modern power systems

A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-the-Meter Disaggregated Data

Mitigation of distribution system net‐load ramping using multi‐microgrid system

Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting

Data-Driven Probabilistic Net Load Forecasting With High Penetration of Behind-the-Meter PV

Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation

Multi-energy net load forecasting for integrated local energy systems with heterogeneous prosumers

PV-Load Decoupling Based Demand Response Baseline Load Estimation Approach for Residential Customer With Distributed PV System

Probabilistic Forecasting of Regional Net-Load With Conditional Extremes and Gridded NWP

Highly accurate peak and valley prediction short-term net load forecasting approach based on decomposition for power systems with high PV penetration

Short-term electric net load forecasting for solar-integrated distribution systems based on Bayesian neural networks and statistical post-processing

Scalable optimization approaches for microgrid operation under stochastic islanding and net load

A reforecasting-based dynamic reserve estimation for variable renewable generation and demand uncertainty

Adaptive Probabilistic Forecasting of Electricity (Net-)Load

Net-load forecasting of renewable energy systems using multi-input LSTM fuzzy and discrete wavelet transform

Joint Estimation of Behind-the-Meter Solar Generation in a Community

Net load forecasting for high renewable energy penetration grids

Probabilistic forecasting of solar power, electricity consumption and net load: Investigating the effect of seasons, aggregation and penetration on prediction intervals

A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration

Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method

FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates

An improved encoder-decoder-based CNN model for probabilistic short-term load and PV forecasting

Risk-limiting dispatching strategy considering demand response in multi-energy microgrids

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