Browsing by Institution "Lancaster University"

Now showing items 1-6 of 6

    • Demand side management in smart grid: a review and proposals for future direction 

      Gelažanskas, Linas; Gamage, Kelum A.A. (Sustainable cities and society, 2014)
      This paper mainly focuses on demand side management and demand response, including drivers and benefits, shiftable load scheduling methods and peak shaving techniques. Demand side management techniques found in literature ...

    • Distributed energy storage using residential hot water heaters 

      Gelažanskas, Linas; Gamage, Kelum A.A. (Energies, 2016)
      This paper proposes and analyses a new demand response technique for renewable energy regulation using smart hot water heaters that forecast water consumption at an individual dwelling level. Distributed thermal energy ...

    • Forecasting hot water consumption in dwellings using artificial neural networks 

      Gelažanskas, Linas; Gamage, Kelum A.A. (IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), 11-13 May 2015, Riga, Latvia, 2015)
      The electricity grid is currently transforming and becoming more and more decentralised. Green energy generation has many incentives throughout the world thus small renewable generation units become popular. Intermittent ...

    • Forecasting hot water consumption in residential houses 

      Gelažanskas, Linas; Gamage, Kelum A.A. (Energies, 2015)
      An increased number of intermittent renewables poses a threat to the system balance. As a result, new tools and concepts, like advanced demand-side management and smart grid technologies, are required for the demand to ...

    • Managing renewable intermittency in smart grid: use of residential hot water heaters as a form of energy storage 

      Gelažanskas, Linas; Gamage, Kelum A.A. (19th International Symposium on Electrical Apparatus and Technologies (SIELA), 29 May - 1 June 2016, Bourgas, Bulgaria, 2016)
      This paper discusses a novel wind generation balancing technique to improve renewable energy integration to the system. Novel individual hot water heater controllers were modelled with the ability to forecast and look ahead ...

    • Neural network based real-time pricing in demand side management for future smart grid 

      Gelažanskas, Linas; Gamage, Kelum A.A. (7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014), 8-10 April 2014. Vol. 1, 2014)
      Electricity grid is currently being transformed into smart grid. Increased number of renewables require more and more ancillary services to backup intermittent power generation. A very important topic in tomorrow's electricity ...