Jessica Granderson
Jessica Granderson
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Zitiert von
Zitiert von
Gradient boosting machine for modeling the energy consumption of commercial buildings
S Touzani, J Granderson, S Fernandes
Energy and Buildings 158, 1533-1543, 2018
Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques
M Bonvini, MD Sohn, J Granderson, M Wetter, MA Piette
Applied Energy 124, 156-166, 2014
Building energy information systems: user case studies
J Granderson, MA Piette, G Ghatikar
Energy Efficiency 4, 17-30, 2011
Accuracy of automated measurement and verification (M&V) techniques for energy savings in commercial buildings
J Granderson, S Touzani, C Custodio, MD Sohn, D Jump, S Fernandes
Applied Energy 173, 296-308, 2016
Fuel use and design analysis of improved woodburning cookstoves in the Guatemalan Highlands
J Granderson, JS Sandhu, D Vasquez, E Ramirez, KR Smith
Biomass and Bioenergy 33 (2), 306-315, 2009
Towards embedded wireless-networked intelligent daylighting systems for commercial buildings
YJ Wen, J Granderson, AM Agogino
IEEE International Conference on Sensor Networks, Ubiquitous, and …, 2006
Metadata schemas and ontologies for building energy applications: A critical review and use case analysis
M Pritoni, D Paine, G Fierro, C Mosiman, M Poplawski, A Saha, J Bender, ...
Energies 14 (7), 2024, 2021
A national roadmap for grid-interactive efficient buildings
A Satchwell, MA Piette, A Khandekar, J Granderson, NM Frick, R Hledik, ...
Building energy information systems: State of the technology and user case studies
J Granderson, MA Piette, G Ghatikar, P Price
Handbook of web based energy information and control systems, 133-182, 2020
Building fault detection data to aid diagnostic algorithm creation and performance testing
J Granderson, G Lin, A Harding, P Im, Y Chen
Scientific data 7 (1), 65, 2020
Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance
G Lin, H Kramer, J Granderson
Building and Environment 168, 106505, 2020
Design of machine learning models with domain experts for automated sensor selection for energy fault detection
RL Hu, J Granderson, DM Auslander, A Agogino
Applied energy 235, 117-128, 2019
Automated measurement and verification: Performance of public domain whole-building electric baseline models
J Granderson, PN Price, D Jump, N Addy, MD Sohn
Applied Energy 144, 106-113, 2015
Energy information handbook: Applications for energy-efficient building operations
J Granderson
Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency
S Touzani, AK Prakash, Z Wang, S Agarwal, M Pritoni, M Kiran, R Brown, ...
Applied Energy 304, 117733, 2021
Building energy information systems: synthesis of costs, savings, and best-practice uses
J Granderson, G Lin
Energy Efficiency 9, 1369-1384, 2016
Development and application of a statistical methodology to evaluate the predictive accuracy of building energy baseline models
J Granderson, PN Price
Energy 66, 981-990, 2014
Statistical change detection of building energy consumption: Applications to savings estimation
S Touzani, B Ravache, E Crowe, J Granderson
Energy and Buildings 185, 123-136, 2019
Application of automated measurement and verification to utility energy efficiency program data
J Granderson, S Touzani, S Fernandes, C Taylor
Energy and Buildings 142, 191-199, 2017
Small-and medium-sized commercial building monitoring and controls needs: A scoping study
S Katipamula, RM Underhill, JK Goddard, DJ Taasevigen, MA Piette, ...
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2012
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