. This entails creating complete material management plans that optimize the whole supply chain, from sourcing to storage and …

. The central aim of this work is to develop a method for estimating forest companies' timber storage after severe natural … timber storage model. The key input variables are the disturbance-related additional felling quantities (DAMcomp), the … inflows into damaged timber storage (TSAcomp) and the outflows from damaged timber storage (TSOcomp) at the company level over …

achieving a low-carbon future. By optimising a 100% renewable energy mix, including energy storage, the research identifies … storage offer a cleaner and potentially cost-effective alternative. Rapid technological advancements in clean energy increase … decarbonisation and rural development. Transitioning to a fully renewable grid necessitates substantial investments in energy storage …

knowledge storage in order to assess their collective impact on green ventures. The background of the research is embedded in … management practices to achieve long-term sustainability. Results gauged through PLS-SEM model reveal that knowledge storage has … significantly mediate the relationship of knowledge creation and knowledge storage with successful green ventures. In addition to …

-depth presentation on the description and challenges associated with renewable integration, energy storage systems, security, and …

. This entails creating complete material management plans that optimize the whole supply chain, from sourcing to storage and …

optimization, cost-effective dispatch, dependability, storage sizing, cyber-attack minimization, and grid integration. These … challenges affect MG’s performance by adding complexity to the management of storage capacity, cost minimization, reliability …