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sandhya patidar
sandhya patidar
Associate Professor in Statistical Modelling
在 hw.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Understanding the energy consumption and occupancy of a multi-purpose academic building
MS Gul, S Patidar
Energy and Buildings 87, 155-165, 2015
4332015
A deep convolutional neural network model for rapid prediction of fluvial flood inundation
S Kabir, S Patidar, X Xia, Q Liang, J Neal, G Pender
Journal of Hydrology 590, 125481, 2020
1762020
Probabilistic climate projections with dynamic building simulation: Predicting overheating in dwellings
DP Jenkins, S Patidar, PFG Banfill, GJ Gibson
Energy and Buildings 43 (7), 1723-1731, 2011
972011
Synthesising electrical demand profiles for UK dwellings
DP Jenkins, S Patidar, SA Simpson
Energy and Buildings 76, 605-614, 2014
522014
Methods for assessing domestic overheating for future building regulation compliance
DP Jenkins, V Ingram, SA Simpson, S Patidar
Energy Policy 56, 684-692, 2013
442013
Statistical techniques to emulate dynamic building simulations for overheating analyses in future probabilistic climates
S Patidar, DP Jenkins, GJ Gibson, PFG Banfill
Journal of Building Performance Simulation 4 (3), 271-284, 2011
412011
Understanding residential occupant cooling behaviour through electricity consumption in warm-humid climate
KB Debnath, DP Jenkins, S Patidar, AD Peacock
Buildings 10 (4), 78, 2020
332020
A multi-sectoral approach to modelling community energy demand of the built environment
P McCallum, DP Jenkins, AD Peacock, S Patidar, M Andoni, D Flynn, ...
Energy Policy 132, 865-875, 2019
312019
Method for incorporating morphological sensitivity into flood inundation modeling
D Pender, S Patidar, K Hassan, H Haynes
Journal of Hydraulic Engineering 142 (6), 04016008, 2016
262016
Stochastic modelling techniques for generating synthetic energy demand profiles
S Patidar, DP Jenkins, SA Simpson
International Journal of Energy and Statistics 4 (03), 1650014, 2016
242016
Simple statistical model for complex probabilistic climate projections: Overheating risk and extreme events
S Patidar, D Jenkins, P Banfill, G Gibson
Renewable Energy 61, 23-28, 2014
242014
Spatial distribution based on optimal interpolation techniques and assessment of contamination risk for toxic metals in the surface soil
A Saha, BS Gupta, S Patidar, N Martínez-Villegas
Journal of South American Earth Sciences 115, 103763, 2022
232022
Stochastic simulation of daily streamflow sequences using a hidden Markov model
D Pender, S Patidar, G Pender, H Haynes
Hydrology Research 47 (1), 75-88, 2016
232016
Investigating capabilities of machine learning techniques in forecasting stream flow
S Kabir, S Patidar, G Pender
Proceedings of the Institution of Civil Engineers-Water Management 173 (2 …, 2020
222020
Developing a probabilistic tool for assessing the risk of overheating in buildings for future climates
DP Jenkins, S Patidar, P Banfill, G Gibson
Renewable energy 61, 7-11, 2014
202014
A machine learning approach for forecasting and visualising flood inundation information
S Kabir, S Patidar, G Pender
Proceedings of the Institution of Civil Engineers-Water Management 174 (1 …, 2021
192021
The impact of climate change on hydroecological response in chalk streams
A Visser, L Beevers, S Patidar
Water 11 (3), 596, 2019
182019
Tailoring a future overheating risk tool for existing building design practice in domestic and non-domestic sectors
M Gul, DP Jenkins, S Patidar, PFG Banfill, G Menzies, G Gibson
Building Services Engineering Research and Technology 33 (1), 105-117, 2012
182012
Quantifying change in buildings in a future climate and their effect on energy systems
DP Jenkins, S Patidar, SA Simpson
Buildings 5 (3), 985-1002, 2015
162015
Macro‐invertebrate community response to multi‐annual hydrological indicators
A Visser, L Beevers, S Patidar
River research and applications 33 (5), 707-717, 2017
152017
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