With the increasing electrification of domestic energy usage and the inherent demands on distribution networks, there are growing incentives for consumers to produce and consume energy locally. Cooperative strategies between consumers can alleviate upstream demand through scheduling the charging and discharging of battery systems on the basis of predicted knowledge of consumers' solar panel generation, consumption habits, and electricity prices. These consumers are called prosumers for their ability to consume and produce energy. Smart scheduling keeps generated energy stored for local consumption, and can help time prosumers' consumption of energy from the distribution networks when energy is cheap. One issue lies in the fair allocation of cost savings amongst prosumers. A well-suited solution concept, the nucleolus, becomes problematic to solve for larger numbers of prosumers. Building upon research done on estimating the nucleolus, this thesis investigates how different methods of clustering prosumers perform in nucleolus estimation.