Electricity Demand Forecasting in Decentralised Demand Side Response for Blocks of Buildings

Sean Williams, Michael Short

Research output: Chapter in Book/Report/Conference proceedingConference contribution

69 Downloads (Pure)


A downturn of centralised conventional fossil fuel fired power plants and increased proportion of distributed power generation adds to the already troublesome outlook for operators of low-inertia energy systems. The role of an emerging decentralised energy sector allows separation of local energy needs from major power networks. However, the diversion of energy generation means diminishing levels of system inertia on the network needs to be better monitored and controlled. Reducing the overall energy consumption at times of peak demand through demand-side response (DSR) is conducive to intelligent use of electrical power. However, in the absence of reliable demand forecasting measures, effective decentralised demand-side energy planning is often problematic. In this work we formulate a simple yet highly effective approach for forecasting univariate quantitative time series by utilising electricity demand in a decentralised demand-side optimisation model. The forecasting session is constructed initially through analysis of a chronological sequence of discrete observations. Interpretations concerning the generalisation of demand data shows behaviour that allows symbolic representation of the time series. Calculation of short-term forecasting problems have been obtained. Results for medium-term forecasts that extend beyond 12-months are also very promising. In addition to motivating the construction of a forecasting method, the main intention of this article is to derive a practical solution that will evolve a novel proactive approach to existing demand response mechanisms.
Original languageEnglish
Title of host publicationProceedings of The International Conference on Energy and Sustainable Futures (ICESF) 2019
EditorsA Al-Habaibeh, V Vukovic
PublisherUniversity of Nottingham
ISBN (Electronic)9781912253029
Publication statusPublished - 9 Sept 2019
EventInternational Conference on Energy and Sustainable Futures 2019 - Nottingham Trent University, Nottingham, United Kingdom
Duration: 9 Sept 201911 Sept 2019


ConferenceInternational Conference on Energy and Sustainable Futures 2019
Abbreviated titleICESF 2019
Country/TerritoryUnited Kingdom
Internet address


Dive into the research topics of 'Electricity Demand Forecasting in Decentralised Demand Side Response for Blocks of Buildings'. Together they form a unique fingerprint.

Cite this