Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Wu, Chenye"'
The decarbonization of the power sector plays a pivotal role in economy-wide decarbonization to set the world on track to limit warming to 1.5{\deg}C by 2050. Carbon emission markets can play a significant role in this transition by putting a price o
Externí odkaz:
http://arxiv.org/abs/2210.09813
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
Externí odkaz:
http://arxiv.org/abs/2210.09432
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. This motivates us to design machine learning algorithms wi
Externí odkaz:
http://arxiv.org/abs/2202.07939
Publikováno v:
In Neuropharmacology 1 November 2024 258
Publikováno v:
In Applied Energy 15 May 2024 362
Publikováno v:
In Applied Energy 1 May 2024 361
Publikováno v:
In Energy 15 April 2024 293
Smart meter devices enable a better understanding of the demand at the potential risk of private information leakage. One promising solution to mitigating such risk is to inject noises into the meter data to achieve a certain level of differential pr
Externí odkaz:
http://arxiv.org/abs/2011.06205
Energy storage has exhibited great potential in providing flexibility in power system to meet critical peak demand and thus reduce the overall generation cost, which in turn stabilizes the electricity prices. In this work, we exploit the opportunitie
Externí odkaz:
http://arxiv.org/abs/2005.01402
Conventional wisdom to improve the effectiveness of economic dispatch is to design the load forecasting method as accurately as possible. However, this approach can be problematic due to the temporal and spatial correlations between system cost and l
Externí odkaz:
http://arxiv.org/abs/2002.12755