314 citations · 2.8k across the 45 of their papers we have counts for
45 papers
Rule-based Bayesian regression
Themistoklis Botsas, Lachlan R. Mason, Indranil Pan
We introduce a novel rule-based approach for handling regression problems. The new methodology carries elements from two frameworks: (i) it provides information about the uncertain…
Integration of an Energy Management Tool and Digital Twin for Coordination and Control of Multi-vector Smart Energy Systems
Edward O'Dwyer, Indranil Pan, Richard Charlesworth +2
As Internet of Things (IoT) technologies enable greater communication between energy assets in smart cities, the operational coordination of various energy networks in a city or di…
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
Romit Maulik, Themistoklis Botsas, Nesar Ramachandra +2
Non-intrusive reduced-order models (ROMs) have recently generated considerable interest for constructing computationally efficient counterparts of nonlinear dynamical systems emerg…
Evolving Chaos: Identifying New Attractors of the Generalised Lorenz Family
Indranil Pan, Saptarshi Das
In a recent paper, we presented an intelligent evolutionary search technique through genetic programming (GP) for finding new analytical expressions of nonlinear dynamical systems,…
Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor
Daya Shankar Pandey, Saptarshi Das, Indranil Pan +2
In this paper, multi-layer feed forward neural networks are used to predict the lower heating value of gas (LHV), lower heating value of gasification products including tars and en…
Marginal likelihood based model comparison in Fuzzy Bayesian Learning
Indranil Pan, Dirk Bester
In a recent paper [1] we introduced the Fuzzy Bayesian Learning (FBL) paradigm where expert opinions can be encoded in the form of fuzzy rule bases and the hyper-parameters of the…