Project scheduling and optimisation techniques address the challenging task of allocating limited resources across a series of interdependent tasks to reduce overall project duration and costs. This ...
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
SPECIAL ISSUE NO. 115. Advances in Water Resources, Environmental Protection, and Sustainable Development (SUMMER 2020), pp. 561-565 (5 pages) Published By: Coastal Education & Research Foundation, ...
Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...
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