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06/17/2021
Deep generative modeling for probabilistic forecasting in power systems
Greater direct electrification of end-use sectors with a higher share of...
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06/02/2021
Deep learning-based multi-output quantile forecasting of PV generation
This paper develops probabilistic PV forecasters by taking advantage of ...
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05/28/2021
A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market
The core contribution is to propose a probabilistic forecast-driven stra...
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05/16/2020
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning
The lifelong control problem of an off-grid microgrid is composed of two...
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04/13/2020
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
The large integration of variable energy resources is expected to shift ...
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12/21/2018
