In this research project, we proposed a novel customer persona algorithm based on unsupervised clustering algorithms with additional important indicators for scoring within each class. This algorithm is tailored for the PetroChina Southwest Oil and…
The consumption data from smart meters and complex questionnaires reveals the electricity consumers’ willingness to adapt their lifestyle to reduce or change their behaviour in electricity usage to flatten the peak in electricity consumption and…
WSNs are multihop networks, which depend on the intermediate nodes to relay the data packet to the destination. These nodes are equipped with lesser memory, limited battery power, little computation capability, small range of communication and need a…
Monitoring oil stocks provides valuable insights on the balance between production and demand of petroleum products. The identification of oil depots is important for estimating storage capacities and measuring oil stocks. To achieve this purpose, we…
In this paper, we present a MILP clustering formulation for tackling the operational management of crude oil supply (OMCOS) proposed by de Assis et al. (2019). The OMCOS consists of defining the scheduling of vessel trips between offshore platforms…
In this paper, we present a MILP clustering formulation for tackling the operational management of crude oil supply (OMCOS) proposed by de Assis et al. (2019). The OMCOS consists of defining the scheduling of vessel trips between offshore platforms…