Browsing SINTEF Open by Author "Lakshmanan, Venkatachalam"
Now showing items 1-6 of 6
-
Analysis of Accuracy of Flexibility Baseline Prediction Methods for Office Building at Different Measuring Points
Thorvaldsen, Kasper Emil; Lakshmanan, Venkatachalam; Sæle, Hanne (Chapter; Peer reviewed, 2023)Customer baseline load (CBL) prediction plays an important role in calculating the volume and value of the flexibility provided by end-users. In this paper, two different CBL methods are applied to investigate their ... -
Demand flexibility modelling for long term optimal distribution grid planning
Bødal, Espen Flo; Lakshmanan, Venkatachalam; Sperstad, Iver Bakken; Degefa, Merkebu Zenebe; Hanot, Maxime; Ergun, Hakan; Rossi, Marco (Peer reviewed; Journal article, 2022)Optimisation tools for long-term grid planning considering flexibility resources require aggregated flexibility models that are not too computationally demanding or complex. Still, they should capture the operational ... -
Electric water heater flexibility potential and activation impact in system operator perspective – Norwegian scenario case study
Lakshmanan, Venkatachalam; Sæle, Hanne; Degefa, Merkebu Zenebe (Peer reviewed; Journal article, 2021)Simultaneous activation of demand side flexibility on thermostatically controlled loads will cause adverse impacts later in the form of rebounds. Distribution system operators must know the characterisation of the impact, ... -
Generating scenarios from probabilistic short-term load forecasts via non-linear Bayesian regression
Löschenbrand, Markus; Gros, Sebastien; Lakshmanan, Venkatachalam (Chapter; Peer reviewed, 2021)In this paper we present a simple and intuitive method for fitting a non-linear Bayesian regression model on short-term load forecasts. Such models have been implemented via Bayesian neural networks, which are known for ... -
Heavy-duty electric vehicle charging profile generation method for grid impact analysis
Fjær, Kyrre Kirkbakk; Lakshmanan, Venkatachalam; Torsæter, Bendik Nybakk; Korpås, Magnus (Chapter; Peer reviewed, 2021)The transport sector is responsible for 20 % of the global CO 2 emissions. By transitioning from internal-combustion engine to battery-electric vehicles, there is a big potential in reducing the emissions. The upcoming ... -
Low-complexity Risk-averse MPC for EMS
Maree, Johannes Philippus; Gros, Sebastien; Lakshmanan, Venkatachalam (Chapter; Peer reviewed, 2021)A data-driven stochastic MPC strategy is presented as an EMS for the Skagerak Energilab microgrid. Uncertainties, introduced due to the intermittent nature of RES and load demands, are systematically incorporated into the ...