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Jonathon Dore

Conference paper

Household electricity load forecasting using historical smart meter data with clustering and classification techniques


The uptake of smart grid technologies and increasing deployment of smart meters have brought greater attention on the analysis of individual household electricity consumption. Within the smart grid framework, home and battery energy management systems are becoming important demand side management tools with various benefits to households, utilities and networks. Load forecasting is a vital...
Conference paper

A method for classifying households to help forecasting their Photovoltaic electricity self-consumption patterns


Smart meter data can be used for various purposes within smart grids, including residential energy applications, such as Home Energy Management Systems (HEMS) and Battery Energy Management Systems (BEMS). Considering the low feed-in tariffs for rooftop photovoltaic (PV) and increasing customer electricity prices, maximizing PV self-consumption becomes a key objective for these energy management systems.

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