2018
DOI: 10.1109/access.2018.2874131
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Renewable Energy Assisted Cost Aware Sustainable Off-Grid Base Stations With Energy Cooperation

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Cited by 56 publications
(75 citation statements)
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“…Ani and Nzeako et al in [42], discussed the optimization of a hybrid (Solar & Hydro) and DG powered scheme for a remote BS. In order to reduce the NPC, operational expenditures (OPEX) and greenhouse gas emission, authors in [43]- [45] mentioned a hybrid PV/WT system by integrating two renewable energy sources. Authors in [43], [44] explored the various key factors including the optimal sizing, net present cost and greenhouse gas contents for assessing the system performance.…”
Section: Related Workmentioning
confidence: 99%
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“…Ani and Nzeako et al in [42], discussed the optimization of a hybrid (Solar & Hydro) and DG powered scheme for a remote BS. In order to reduce the NPC, operational expenditures (OPEX) and greenhouse gas emission, authors in [43]- [45] mentioned a hybrid PV/WT system by integrating two renewable energy sources. Authors in [43], [44] explored the various key factors including the optimal sizing, net present cost and greenhouse gas contents for assessing the system performance.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, an Internet of Things (IoT) based sun tracking system increases the generated energy [58]. The required number of solar PV panel (N PV ) to produce a specific output (P p ) can be formulated as follows [45]…”
Section: B Solar Pv Panelmentioning
confidence: 99%
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“…(1) Most of the optimization objectives of IES are to minimize the total operating cost of the system or maximize social welfare [36][37][38][39]. (2) ere are also some studies whose optimization objectives are optimal carbon emissions or environmental bene ts, to achieve the proportion of green energy in the operation of IES system [40][41][42]. ere are still a few studies whose optimization objective is maximal absorption of renewable energy, to improve the proportion of energy supply from renewable energy in IES, so as to achieve better environmental bene ts [43].…”
Section: Optimization Objectives Of Iesmentioning
confidence: 99%