Search Results for author: Chenye Wu

Found 12 papers, 0 papers with code

Identifying Operation Equilibrium in Integrated Electricity, Natural Gas, and Carbon-Emission Markets

no code implementations18 Oct 2022 Yijie Yang, Jian Shi, Dan Wang, Chenye Wu, Zhu Han

Carbon emission markets can play a significant role in this transition by putting a price on carbon and giving electricity producers an incentive to reduce their emissions.

Deep Decarbonization of Multi-Energy Systems: A Carbon-Oriented Framework with Cross Disciplinary Technologies

no code implementations17 Oct 2022 Jian Shi, Dan Wang, Chenye Wu, Zhu Han

The retirement of unabated coal power plants, the plummeting cost of renewable energy technologies, along with more aggressive public policies and regulatory reforms, are occurring at an unprecedented speed to decarbonize the power and energy systems towards the 2030 and 2050 climate goals.

Clustering Enabled Few-Shot Load Forecasting

no code implementations16 Feb 2022 Qiyuan Wang, Zhihui Chen, Chenye Wu

While the advanced machine learning algorithms are effective in load forecasting, they often suffer from low data utilization, and hence their superior performance relies on massive datasets.

Clustering Load Forecasting

Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective

no code implementations12 Nov 2020 Haoxiang Wang, Jiasheng Zhang, Chenbei Lu, Chenye Wu

In this paper, we cast one-shot non-intrusive load monitoring (NILM) in the compressive sensing framework, and bridge the gap between theoretical accuracy of NILM inference and differential privacy's parameters.

Compressive Sensing Non-Intrusive Load Monitoring +2

Effective End-to-End Learning Framework for Economic Dispatch

no code implementations22 Feb 2020 Chenbei Lu, Kui Wang, Chenye Wu

Conventional wisdom to improve the effectiveness of economic dispatch is to design the load forecasting method as accurately as possible.

BIG-bench Machine Learning Load Forecasting

Robust Data-driven Profile-based Pricing Schemes

no code implementations12 Dec 2019 Jingshi Cui, Haoxiang Wang, Chenye Wu, Yang Yu

To enable an efficient electricity market, a good pricing scheme is of vital importance.

Clustering

A Data-driven Storage Control Framework for Dynamic Pricing

no code implementations1 Dec 2019 Jiaman Wu, Zhiqi Wang, Chenye Wu, Kui Wang, Yang Yu

Dynamic pricing is both an opportunity and a challenge to the demand side.

Vulnerability Analysis for Data Driven Pricing Schemes

no code implementations18 Nov 2019 Jingshi Cui, Haoxiang Wang, Chenye Wu, Yang Yu

In this paper, from an adversarial machine learning point of view, we examine the vulnerability of data-driven electricity market design.

BIG-bench Machine Learning Clustering

Optimal Storage Control for Dynamic Pricing

no code implementations16 Nov 2019 Jiaman Wu, Zhiqi Wang, Yang Yu, Chenye Wu

Renewable energy brings huge uncertainties to the power system, which challenges the traditional power system operation with limited flexible resources.

Systems and Control Systems and Control Optimization and Control

Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling

no code implementations9 Nov 2019 Kui Wang, Jian Sun, Chenye Wu, Yang Yu

Conductor galloping is the high-amplitude, low-frequency oscillation of overhead power lines due to wind.

Efficient and Robust Equilibrium Strategies of Utilities in Day-ahead Market with Load Uncertainty

no code implementations12 Sep 2019 Tianyu Zhao, Hanling Yi, Minghua Chen, Chenye Wu, Yunjian Xu

We consider the scenario where $N$ utilities strategically bid for electricity in the day-ahead market and balance the mismatch between the committed supply and actual demand in the real-time market, with uncertainty in demand and local renewable generation in consideration.

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