Sandhya Patidar

Research output

Research output per year 2007 2011 2012 2013 2014 2015 2016 2018 2019 2020 2021 2022 2022

• 38 Article
• 14 Conference contribution
• 12 Paper
• 2 Chapter (peer-reviewed)
• 2 More
  • 1 Other
  • 1 Conference article

Research output per year

Research output per year

Search results

• 2022

  Evaluation of Potential Ecological Risk Index of Toxic Metals Contamination in the Soils

  Saha, A., Sen Gupta, B., Patidar, S. & Martínez-Villegas, N., 10 Feb 2022, In: Chemistry Proceedings. 10, 1, 59.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  File

  • Soil 100%
  • Soils 64%
  • Arsenic 50%
  • Toxic Metal 50%
  • Contamination 50%
  68 Downloads (Pure)

• Identification of Soil Arsenic Contamination in Rice Paddy Field Based on Hyperspectral Reflectance Approach

  Saha, A., Sen Gupta, B., Patidar, S. & Martínez-Villegas, N., 19 Mar 2022, In: Soil Systems. 6, 1, 30.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Soil 100%
  • Arsenic 62%
  • Approach 62%
  • Region 37%
  • Hyperspectral 37%
  1 Citation (Scopus)

  27 Downloads (Pure)

• Spatial distribution and source identification of metal contaminants in the surface soil of Matehuala, Mexico based on positive matrix factorization model and GIS techniques

  Saha, A., Sen Gupta, B., Patidar, S. & Martínez-Villegas, N., 6 Dec 2022, In: Frontiers in Soil Science. 22 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Soil 100%
  • Metal 71%
  • Contamination 57%
  • Factorization 57%
  • Risk 57%

• Spatial distribution based on optimal interpolation techniques and assessment of contamination risk for toxic metals in the surface soil

  Saha, A., Sen Gupta, B., Patidar, S. & Martínez-Villegas, N., Apr 2022, In: Journal of South American Earth Sciences. 115, 103763.

  Research output: Contribution to journal › Article › peer-review

  • Soil 100%
  • Soils 63%
  • Toxic Metal 54%
  • Metals 54%
  • Metal 54%
  1 Citation (Scopus)
• 2021

  A hybrid system of data-driven approaches for simulating residential energy demand profiles

  Patidar, S., Jenkins, D. P., Peacock, A. & McCallum, P., 4 May 2021, In: Journal of Building Performance Simulation. 14, 3, p. 277-302 26 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hidden Markov Models 100%
  • Demand Profile 75%
  • Hidden Markov Model 50%
  • Energy Demand 25%
  • Datum 25%
  1 Citation (Scopus)

  72 Downloads (Pure)

• A Machine Learning Approach for Forecasting and Visualizing Flood Inundation Information

  Kabir, S., Patidar, S. & Pender, G., Feb 2021, In: Proceedings of the Institution of Civil Engineers: Water Management. 174, 1, p. 27-41 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Flood 100%
  • Model 50%
  • Simulation Mode 50%
  • Models 50%
  • Hydrodynamic Model 50%
  4 Citations (Scopus)

  124 Downloads (Pure)

• Associating Climatic Trends with Stochastic Modelling of Flow Sequences

  Patidar, S., Tanner, E., Bankaru-Swamy, S. & Sen Gupta, B., 13 Jun 2021, In: Geosciences. 11, 6, 255.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hidden Markov Models 100%
  • Stochastic Modeling 50%
  • Simulation Mode 50%
  • Process 33%
  • Streamflow 25%
  1 Citation (Scopus)

  17 Downloads (Pure)

• Changing the approach to energy compliance in residential buildings – re-imagining EPCs

  Jenkins, D. P., Semple, S., Patidar, S. & McCallum, P., 15 Oct 2021, In: Energy and Buildings. 249, 111239.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Energy 100%
  • Evaluation 71%
  • Energy Policy 57%
  • Assessment 57%
  • Buildings 42%
  3 Citations (Scopus)

  21 Downloads (Pure)

• Effect of COVID-19 lockdown on residential grid electricity and decentralised solar energy consumption in the UK Homes

  Debnath, K. B., Jenkins, D. P., Patidar, S. & Peacock, A., 15 Oct 2021, Proceedings of the 38th International Conference of CIB W78. p. 398-408 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Solar Energy 100%
  • Investigation 100%
  • Electricity Grid 100%
  • Energy Consumption 66%
  • Energy Demand 66%
  17 Downloads (Pure)

• Impact of the UK’s COVID-19 lockdown on the residential electricity consumption

  Debnath, K. B., Jenkins, D. P., Patidar, S., Peacock, A. & McCallum, P., 3 Sep 2021. 9 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Houses 100%
  • Consumption 83%
  • Energy Demand 50%
  • Electricity Consumption 50%
  • Investigation 50%
  26 Downloads (Pure)

• Projecting impacts of uncertain climate change on future energy demand

  Patidar, S., Jenkins, D. P. & Peacock, A., 1 Sep 2021. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Energy Demand 100%
  • Demand 50%
  • Climate 37%
  • Module 37%
  • Modules 37%
  12 Downloads (Pure)
• 2020

  A deep convolutional neural network model for rapid prediction of fluvial flood inundation

  Kabir, S., Patidar, S., Xia, X., Liang, Q., Neal, J. & Pender, G., Nov 2020, In: Journal of Hydrology. 590, 125481.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Convolutional Neural Network 100%
  • Network Model 62%
  • Flood 62%
  • Hydrodynamic Model 37%
  • Prediction 37%
  53 Citations (Scopus)

  25 Downloads (Pure)

• Comparing community energy assessment approaches for UK and India

  Jenkins, D. P., Patidar, S., McCallum, P., Peacock, A. & Debnath, K. B., 1 Apr 2020, Proceedings of the 16th IBPSA Conference . Corrado, V., Fabrizio, E., Gasparella, A. & Patuzzi, F. (eds.). p. 3193-3201

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Energy 100%
  • Energy Demand 42%
  • Built Environment 28%
  • United Kingdom 28%
  • Community 28%

• Investigating capabilities of machine learning techniques in forecasting streamflow

  Kabir, S., Patidar, S. & Pender, G., Apr 2020, In: Proceedings of the ICE - Water Management. 173, 2, p. 69-86 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Simulation Mode 100%
  • Model 46%
  • Performance 23%
  • Wavelet 15%
  • Artificial Neural Network 15%
  10 Citations (Scopus)

  18 Downloads (Pure)

• Modelling community electricity demand for UK and India

  Jenkins, D. P., Patidar, S., McCallum, P. & Debnath, K. B., Apr 2020, In: Sustainable Cities and Society. 55, 102054.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Mathematical Model 100%
  • Buildings 50%
  • Community 50%
  • Energy Modelling 50%
  • Energy Demand 50%
  5 Citations (Scopus)

  44 Downloads (Pure)

• Short-term forecasting of residential electricity demand using CNN-LSTM

  Lotfipoor, A., Patidar, S. & Jenkins, D. P., 12 Nov 2020.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Energy Demand 100%
  • Models 55%
  • Model 55%
  • Forecasting 44%
  • Prediction 22%
  255 Downloads (Pure)

• System of statistical approaches for community energy demand modelling

  Patidar, S., Jenkins, D. P., Peacock, A., Debnath, K. B. & McCallum, P., 12 Nov 2020.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Demand 100%
  • Hidden Markov Models 85%
  • Community 42%
  • Energy Demand 42%
  • Dwelling 28%
  45 Downloads (Pure)

• Time Series Decomposition Approach for Simulating Electricity Demand Profile

  Patidar, S., Jenkins, D. P., Peacock, A. & McCallum, P., 1 Apr 2020, Proceedings of the 16th IBPSA Conference . Corrado, V., Fabrizio, E., Gasparella, A. & Patuzzi, F. (eds.). p. 1388-1395

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Time Series 100%
  • Approach 100%
  • Decomposition 100%
  • Electricity 100%
  • Electricity Demand 100%

• Understanding Residential Occupant Cooling Behaviour through Electricity Consumption in Warm-Humid Climate

  Debnath, K. B., Jenkins, D. P., Patidar, S. & Peacock, A., 19 Apr 2020, In: Buildings . 10, 4, 78.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Investigation 100%
  • Climate 83%
  • Electricity Consumption 66%
  • Cooling 66%
  • Occupant Behavior 66%
  10 Citations (Scopus)

  48 Downloads (Pure)
• 2019

  A coupled modelling framework to assess the hydroecological impact of climate change

  Visser, A. G., Beevers, L. & Patidar, S., Apr 2019, In: Environmental Modelling and Software. 114, p. 12-28 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Mathematical Model 100%
  • Climate Change 57%
  • Impact 57%
  • River 42%
  • Low Flow 28%
  6 Citations (Scopus)

  88 Downloads (Pure)

• A multi-sectoral approach to modelling community energy demand of the built environment

  McCallum, P., Jenkins, D. P., Peacock, A. D., Patidar, S., Andoni, M., Flynn, D. & Robu, V., Sep 2019, In: Energy Policy. 132, p. 865-875 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Energy Demand 100%
  • Mathematical Model 41%
  • Demand 33%
  • Environment 16%
  • Change 16%
  10 Citations (Scopus)

  63 Downloads (Pure)

• Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization

  Visser-Quinn, A., Beevers, L. & Patidar, S., 9 Aug 2019, In: Hydrology and Earth System Sciences. 23, 8, p. 3279-3303 25 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Model 100%
  • Investigation 66%
  • Parameter 66%
  • Catchment 50%
  • Covariance 50%
  2 Citations (Scopus)

  34 Downloads (Pure)

• The Impact of Climate Change on Hydroecological Response in Chalk Streams

  Visser, A., Beevers, L. & Patidar, S., 22 Mar 2019, In: Water. 11, 3, 596.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Chalk 100%
  • Response 66%
  • Climate Change 66%
  • UK 50%
  • River 50%
  8 Citations (Scopus)

  38 Downloads (Pure)
• 2018

  Complexity in hydroecological modelling: A comparison of stepwise selection and information theory

  Visser, A., Beevers, L. C. & Patidar, S., 25 Jul 2018, (E-pub ahead of print) In: River Research and Applications. p. 1-12 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Information Theory 100%
  • Mathematical Model 41%
  • Complexity 33%
  • Model Selection 33%
  • Stepwise Selection 25%
  8 Citations (Scopus)

  40 Downloads (Pure)

• Stochastic modelling framework for synthetic time series simulation

  Patidar, S., 5 Sep 2018.

  Research output: Contribution to conference › Other › peer-review

  Open Access

  File

  • Hidden Markov Models 100%
  • Time Series 21%
  • Energy Demand 14%
  • Stochastic Modeling 14%
  • Circuit Diagrams 10%
  40 Downloads (Pure)

• Stochastic modelling of flow sequences for improved prediction of fluvial flood hazards

  Patidar, S., Allen, D., Haynes, R. & Haynes, H., 18 Dec 2018, River to Reservoir: Geoscience to Engineering. Geological Society of London, (Geological Society Special Publications; vol. 488).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

  • Streamflow 100%
  • Flood 71%
  • Stochastic Modeling 42%
  • Data Set 28%
  • Approach 28%
  5 Citations (Scopus)

• The Use of Demand Modelling for Community Energy Analysis

  McCallum, P., Patidar, S., Jenkins, D., Peacock, A., Robu, V., Andoni, M. & Flynn, D., 4 May 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 8351797. (IEEE International Symposium on Circuits and Systems (ISCAS)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Energy Demand 100%
  • Energy 100%
  • Mathematical Model 60%
  • Simulation 60%
  • Community 40%
  3 Citations (Scopus)

  67 Downloads (Pure)
• 2017

  A proposed new UK framework for the sizing of domestic hot and cold water systems for medium-large scale residential buildings

  Jack, L. B., Patidar, S. & Wickramasinghe, S. A. N. S., 23 Aug 2017.

  Research output: Contribution to conference › Paper

  • Cold Water 100%
  • Hot Water 100%
  • Residential Building 66%
  • United Kingdom 66%
  • Medium 66%

• Macro-invertebrate Community Response to Multi-annual Hydrological Indicators

  Visser, A., Beevers, L. C. & Patidar, S., Jun 2017, In: River Research and Applications. 33, 5, p. 707–717 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Mathematical Model 100%
  • Flow 100%
  • Response 66%
  • Responses 66%
  • Groundwater 33%
  11 Citations (Scopus)

  59 Downloads (Pure)
• 2016

  A model for stochastic simulation of daily streamflow

  Patidar, S., Hassan, K., Haynes, H., Pender, G. & Pender, D., 11 Jul 2016, River FLow 2016. Constantinescu, G., Garcia, M. & Hanes, D. (eds.). CRC Press, p. 1910-1915

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Simulation Mode 100%
  • Streamflow 42%
  • Approach 42%
  • Model 42%
  • Flood 42%

• Method for Incorporating Morphological Sensitivity into Flood Inundation Modeling

  Pender, D., Patidar, S., Pender, G. & Haynes, H., Jun 2016, In: Journal of Hydraulic Engineering. 142, 6, 11 p., 04016008.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Flood 100%
  • Floods 100%
  • Defense Scheme 35%
  • Morphology 35%
  • Modeling 28%
  15 Citations (Scopus)

  160 Downloads (Pure)

• Statistical modelling approach for integrating probabilistic climate projections with the river flow data

  Patidar, S., Hassan, K., Haynes, H. & Pender, G., Jun 2016, River Flow 2016. Constantinescu, G., Garcia, M. & Hanes, D. (eds.). CRC Press, p. 1904-1909

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Climate 100%
  • United Kingdom 42%
  • Projection 42%
  • Hidden Markov Models 42%
  • Streamflow 28%
  1 Citation (Scopus)

• Stochastic modelling approach for synthesizing streamflow

  Patidar, S., Allen, D. A., Pender, G. & Haynes, H., 27 Sep 2016.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
  25 Downloads (Pure)

• Stochastic modelling techniques for generating synthetic energy demand profiles

  Patidar, S., Jenkins, D. P. & Simpson, S. A., 30 Sep 2016, In: International Journal of Energy and Statistics. 4, 3, 1650014.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Stochastic Modeling 100%
  • Time Series 50%
  • Electricity 37%
  • Mathematical Model 37%
  • Modeling 37%
  94 Downloads (Pure)

• Stochastic simulation of daily streamflow sequences using a hidden Markov model

  Pender, D., Patidar, S., Pender, G. & Haynes, H., Feb 2016, In: Hydrology Research. 47, 1, p. 75-88 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Hidden Markov Models 100%
  • Simulation Mode 41%
  • Approach 33%
  • Autoregressive Moving Average Model 33%
  • Catchment 25%
  12 Citations (Scopus)
• 2015

  Assessing pro-environmental behaviour in relation to the management of pollution from private sewage systems

  Brownlie, W. J., Spears, B., Patidar, S., Linda, M. & Roaf, S., 17 Feb 2015, In: Human Ecology. 43, 1, p. 131-140 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Discharge 100%
  • Pro-Environmental Behavior 100%
  • System Failure 66%
  • Report 66%
  • United Kingdom 66%
  2 Citations (Scopus)

• Communicating future overheating risks to building design practitioners: Using the Low Carbon Futures tool

  Gul, M. S., Jenkins, D. P., Patidar, S., Menzies, G. F., Banfill, P. F. G. & Gibson, G. J., Mar 2015, In: Building Services Engineering Research and Technology. 36, 2, p. 182-195 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Tool 100%
  • Tools 100%
  • Low Carbon 87%
  • Carbon 87%
  • Output 62%
  5 Citations (Scopus)

  106 Downloads (Pure)

• Erratum to: Assessing pro-environmental behaviour in relation to the management of pollution from private sewage systems

  Brownlie, W. J., Spears, B. M., Patidar, S., May, L. & Roaf, S., 12 Apr 2015, In: Human Ecology. 43, 2, p. 361 1 p.

  Research output: Contribution to journal › Article › peer-review

• Incorporating river bed level changes into flood risk modelling

  Pender, D., Patidar, S., Pender, G. & Haynes, H., 28 Jun 2015. 9 p.

  Research output: Contribution to conference › Paper › peer-review

  • Floods 100%
  • Flood Reaction 100%
  • Change 85%
  • Transport 42%
  • River 42%

• Quantifying Change in Buildings in a Future Climate and Their Effect on Energy Systems

  Jenkins, D., Patidar, S. & Simpson, S., 28 Aug 2015, In: Buildings . 5, 3, p. 985-1002 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Buildings 100%
  • Energy Systems 57%
  • Energy Engineering 42%
  • Energy Demand 42%
  • Climatic Change 28%
  9 Citations (Scopus)

  60 Downloads (Pure)

• Understanding the energy consumption and occupancy of a multi-purpose academic building

  Gul, M. S. & Patidar, S., 1 Jan 2015, In: Energy and Buildings. 87, p. 155-165 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Buildings 100%
  • Energy Demand 60%
  • Energy Consumption 20%
  • Control 20%
  • Consumers 20%
  220 Citations (Scopus)

  395 Downloads (Pure)
• 2014

  A local scale dynamic stock model for high resolution thermal demand

  Simpson, S. A., Jenkins, D. P. & Patidar, S., Jun 2014.

  Research output: Contribution to conference › Paper › peer-review

• Developing a probabilistic tool for assessing the risk of overheating in buildings for future climates

  Jenkins, D. P., Patidar, S., Banfill, P. F. G. & Gibson, G. J., Jan 2014, In: Renewable Energy. 61, p. 7-11 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Buildings 100%
  • Climate 87%
  • Climate Change 25%
  • UK 25%
  • Simulation 25%
  13 Citations (Scopus)

  32 Downloads (Pure)

• Generating synthetic energy demand profile at one minute resolution - a statistical modelling approach

  Patidar, S., Jenkins, D. P. & Simpson, S. A., Jun 2014.

  Research output: Contribution to conference › Paper › peer-review

• Simple statistical model for complex probabilistic climate projections: overheating risk and extreme events

  Patidar, S., Jenkins, D., Banfill, P. F. G. & Gibson, G. J., Jan 2014, In: Renewable Energy. 61, p. 23-28 6 p.

  Research output: Contribution to journal › Article › peer-review

  • Climate 100%
  • Extreme Event 60%
  • Impact 60%
  • Building 60%
  • Buildings 60%

• Simple statistical model for complex probabilistic climate projections: overheating risk and extreme events

  Patidar, S., Jenkins, D., Banfill, P. F. G. & Gibson, G. J., Jan 2014, In: Renewable Energy. 61, p. 23-28 6 p.

  Research output: Contribution to journal › Article › peer-review

  • Climate 100%
  • Extreme Event 60%
  • Impact 60%
  • Building 60%
  • Buildings 60%

• Synthesising electrical demand profiles for UK dwellings

  Jenkins, D. P., Patidar, S. & Simpson, S. A., Jun 2014, In: Energy and Buildings. 76, p. 605-614 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Energy Demand 100%
  • Datum 50%
  • Dwelling 50%
  • Energy Supply 50%
  • Energy Consumption 33%
  27 Citations (Scopus)

  133 Downloads (Pure)
• 2013

  Analysis of probabilistic climate projections: heat wave, overheating and adaptation

  Patidar, S., Jenkins, D., Gibson, G. J. & Banfill, P. F. G., 2013, In: Journal of Building Performance Simulation. 6, 1, p. 65-77

  Research output: Contribution to journal › Article › peer-review

  • Climate 100%
  • Heat Wave 50%
  • Building 50%
  • Buildings 50%
  • Extreme Event 33%
  7 Citations (Scopus)

• Methods for assessing domestic overheating for future building regulation compliance

  Jenkins, D. P., Ingram, V., Simpson, S. A. & Patidar, S., 2013, In: Energy Policy. 56, n/a, p. 684 - 692 9 p.

  Research output: Contribution to journal › Article › peer-review
  25 Citations (Scopus)

• Probabilistic future cooling loads for mechanically cooled offices

  Jenkins, D. P., Gul, M. & Patidar, S., Nov 2013, In: Energy and Buildings. 66, p. 57-65 9 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Cooling Load 100%
  • Buildings 33%
  • Information 16%
  • Simulation Method 8%
  • Office Buildings 8%
  5 Citations (Scopus)

  28 Downloads (Pure)