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6 days agoUnder the background of ^double carbon target ̄, virtual power plant is an effective way to reduce the fluctuation of new energy output, promote the consumption ...
4 days agoThis paper introduces an innovative framework that combines robust optimization with online learning to address the challenges of managing power transmission ...
3 days agoWith their learning and adaptability behaviors, we can not only predict weather fluctuations, but also optimally plan and design the operation of solar PV ...
6 days agoThe research introduces a novel supervised machine learning model that focuses on regression methods specifically tailored for advanced microgrid energy ...
6 days agoThe uncertainty of renewable energy generation leads to mismatches between energy supply and demand in energy systems. Continuously emerging advanced energy ...
Missing: machine | Show results with:machine
12 hours agoThe optimization objective is to minimize the total operating cost of the integrated energy operator, considering constraints such as distribution network flow ...
6 days agoAI helps expanding energy outputs and adjusting consumption to meet the needs of carbon capture, and using spare renewable energy to power carbon capture ...
4 days agoThey convert sunlight directly into electricity using photovoltaic (PV) cells, operating silently and with minimal environmental impact compared to traditional ...
3 days agoMachine learning algorithms are pivotal in enhancing energy efficiency in cloud computing. They can analyze vast amounts of historical data to identify patterns ...
6 days agoThe results show that the proposed RL-RID-GridResponder can provide fast and accurate responses to ensure optimal power system operation under DoS and can ...
Missing: plants | Show results with:plants