• To make use of statistical relationships between weather/time of day/season and the demand/output of individual and aggregated LCTs and underlying demand.
• To provide the capability to model the uptake of LCTs with respect to customer type etc.
• To identify and model a suitable exemplar network for test purposes.
• To construct and demonstrate a framework to sample uncertain factors influencing use of a network and simulate network performance under each of a large number of instances of those variations to  produce a database of input-linked outcomes
• To develop methods of interrogating and analysing the database to identify intervention priorities and the underlying network, demand and LCT conditions which trigger them
• To apply the models, framework and methodology to the selected exemplar network to identify ‘weak points’ and ‘points of pressure’, assess overall intervention need and urgency, identify suitable interventions.
• Compare results with existing Business as Usual (BAU) planning methods.

The development of a ‘production quality’ software tool is not an objective of this project. In order that investment risk is reduced, the development of such a tool will be considered under a subsequent/parallel project once the learning derived from this project is sufficiently developed.

• Establishment of external influences on the need for network development – generation and demand including installation of solar PV – can be modelled probabilistically in an efficient manner providing useful information to network development planners and network designers on network performance under different conditions.

• Evidence to support a decision on whether or not to engage with a professional software provider to develop a production grade, supported software tool enabling probabilistic network planning.

• Specification for suitable professional simulation and analysis tools to exploit models of external influences on network adequacy and for a tool to interrogate and analyse its outputs.