| Nome |
# |
|
Data mining for energy analysis of a large data set of flats, file e384c42f-2475-d4b2-e053-9f05fe0a1d67
|
5.900
|
|
VIPs Thermal Conductivity Measurement: Test Methods, Limits and Uncertainty, file e384c42e-6cab-d4b2-e053-9f05fe0a1d67
|
461
|
|
Model Predictive Control for Building Active Demand Response Systems, file e384c42e-6a4c-d4b2-e053-9f05fe0a1d67
|
407
|
|
Thermal bridges in vacuum insulation panels at building scale, file e384c42f-6561-d4b2-e053-9f05fe0a1d67
|
394
|
|
Fault detection analysis of building energy consumption using Data Mining techniques, file e384c42e-2de5-d4b2-e053-9f05fe0a1d67
|
385
|
|
Vacuum Insulation Panels: Thermal Bridging Effects and Energy Performance in Real Building Applications, file e384c42e-6b72-d4b2-e053-9f05fe0a1d67
|
382
|
|
Cooling Systems in Data Centers: State of Art and Emerging Technologies, file e384c42e-6a4a-d4b2-e053-9f05fe0a1d67
|
362
|
|
Thermal characterization of green roofs through dynamic simulation, file e384c42e-2c11-d4b2-e053-9f05fe0a1d67
|
354
|
|
The Effect of Temperature on Thermal Performance of Fumed Silica Based Vacuum Insulation Panels for Buildings, file e384c42f-8bec-d4b2-e053-9f05fe0a1d67
|
289
|
|
The Overall Architecture of a Decision Support System for Public Buildings, file e384c42e-6a4d-d4b2-e053-9f05fe0a1d67
|
288
|
|
Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis, file e384c42e-37a8-d4b2-e053-9f05fe0a1d67
|
281
|
|
Thermal Metrics for Data Centers: A Critical Review, file e384c42e-37a5-d4b2-e053-9f05fe0a1d67
|
248
|
|
Potentialities of a Low Temperature Solar Heating System Based on Slurry Phase Change Materials (PCS), file e384c42e-37a6-d4b2-e053-9f05fe0a1d67
|
243
|
|
The effect of different materials joint in Vacuum Insulation Panels, file e384c42e-36e1-d4b2-e053-9f05fe0a1d67
|
232
|
|
Coupling VIPs and ABPs: Assessment of Overall Thermal Performance in Building Wall Insulation, file e384c42e-6a4e-d4b2-e053-9f05fe0a1d67
|
223
|
|
Experimental Measurement and Numerical Modeling of the Creaming of mPCM Slurry, file e384c42e-6cac-d4b2-e053-9f05fe0a1d67
|
216
|
|
Discovering Knowledge from a Residential Building Stock through Data Mining Analysis for Engineering Sustainability, file e384c42e-6ce3-d4b2-e053-9f05fe0a1d67
|
216
|
|
Vacuum Insulation Panels: Analysis of the Thermal Performance of Both Single Panel and Multilayer Boards, file e384c42e-3c11-d4b2-e053-9f05fe0a1d67
|
178
|
|
Mining typical load profiles in buildings to support energy management in the smart city context, file e384c42f-e3bc-d4b2-e053-9f05fe0a1d67
|
164
|
|
Exploring energy performance certificates through visualization, file e384c431-06f0-d4b2-e053-9f05fe0a1d67
|
105
|
|
Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating, file e384c430-f7fc-d4b2-e053-9f05fe0a1d67
|
97
|
|
A glance about the Big Data Analytics in the Oil&Gas industry, file e384c432-a355-d4b2-e053-9f05fe0a1d67
|
52
|
|
Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities, file e384c430-0a18-d4b2-e053-9f05fe0a1d67
|
46
|
|
A data-driven energy platform: from energy performance certificates to human-readable knowledge through dynamic high-resolution geospatial maps, file e384c432-dc2b-d4b2-e053-9f05fe0a1d67
|
44
|
|
Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings, file e384c433-33e5-d4b2-e053-9f05fe0a1d67
|
44
|
|
The impact of stakeholder preferences in multicriteria evaluation for the retrofitting of office buildings in Italy, file e384c431-d6a5-d4b2-e053-9f05fe0a1d67
|
35
|
|
Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates, file e384c431-a3e5-d4b2-e053-9f05fe0a1d67
|
34
|
|
A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings, file e384c434-8236-d4b2-e053-9f05fe0a1d67
|
34
|
|
A data analytics-based energy information system (EIS) tool to perform meter-level anomaly detection and diagnosis in buildings, file e384c433-4684-d4b2-e053-9f05fe0a1d67
|
31
|
|
Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings, file e384c433-da3a-d4b2-e053-9f05fe0a1d67
|
23
|
|
Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives, file e384c434-7827-d4b2-e053-9f05fe0a1d67
|
22
|
|
A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings, file e384c432-6dec-d4b2-e053-9f05fe0a1d67
|
21
|
|
Recognition and classification of typical load profiles in buildings with non-intrusive learning approach, file e384c431-2044-d4b2-e053-9f05fe0a1d67
|
16
|
|
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings, file e384c432-4e5c-d4b2-e053-9f05fe0a1d67
|
10
|
|
The early design stage of a building envelope: Multi-objective search
through heating, cooling and lighting energy performance analysis, file e384c42e-38a5-d4b2-e053-9f05fe0a1d67
|
9
|
|
RECsim—Virtual Testbed for Control Strategies Implementation in Renewable Energy Communities, file 1532c82e-ffad-421c-add2-855142a149a2
|
8
|
|
Estimation models of heating energy consumption in schools for local authorities planning, file e384c42d-bde5-d4b2-e053-9f05fe0a1d67
|
6
|
|
Fault detection analysis using data mining techniques for a cluster of smart office buildings, file e384c42e-37a7-d4b2-e053-9f05fe0a1d67
|
6
|
|
Energy Management of a Residential Heating System Through Deep Reinforcement Learning, file e384c434-6c85-d4b2-e053-9f05fe0a1d67
|
6
|
|
From the architectural model to the energy model: the use of BIM for the evaluation of the energy performance of buildings, file e384c42e-32a4-d4b2-e053-9f05fe0a1d67
|
5
|
|
Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings, file e384c430-5772-d4b2-e053-9f05fe0a1d67
|
5
|
|
Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings, file e384c430-76b0-d4b2-e053-9f05fe0a1d67
|
5
|
|
Application of a Stochastic Multicriteria Acceptability Analysis to support decision-making within a macro-scale energy model: case study of the electrification of the road European transport sector, file e384c433-ac29-d4b2-e053-9f05fe0a1d67
|
5
|
|
Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures, file e384c434-a6a4-d4b2-e053-9f05fe0a1d67
|
5
|
|
Impacts of architectural design choices on building energy performance. Applications of uncertainty and sensitivity techniques, file e384c42e-09af-d4b2-e053-9f05fe0a1d67
|
4
|
|
Statistycal analysis of total energy use, file e384c42e-3191-d4b2-e053-9f05fe0a1d67
|
4
|
|
Experimental and numerical investigation of thermal bridging effects of jointed Vacuum Insulation Panels, file e384c42e-5e4a-d4b2-e053-9f05fe0a1d67
|
4
|
|
Exploring energy certificates of buildings through unsupervised data mining techniques, file e384c42f-8f92-d4b2-e053-9f05fe0a1d67
|
4
|
|
Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates, file e384c430-4da6-d4b2-e053-9f05fe0a1d67
|
4
|
|
Analysis of the temperature dependence of the thermal conductivity in Vacuum Insulation Panels, file e384c430-721c-d4b2-e053-9f05fe0a1d67
|
4
|
|
Enhancing energy efficiency and comfort in buildings through model predictive control for dynamic façades with electrochromic glazing, file e384c433-530f-d4b2-e053-9f05fe0a1d67
|
4
|
|
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings, file 7bebc5d7-493d-4df5-8272-ffb47cb7b400
|
3
|
|
Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset, file 998d2466-ea93-45c6-908e-764ae6c9987e
|
3
|
|
Data-driven fault detection and diagnosis: research and applications for HVAC systems in buildings, file c7163447-923c-4dcb-8b49-2c8f61755d9c
|
3
|
|
Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules, file e384c432-2e6e-d4b2-e053-9f05fe0a1d67
|
3
|
|
A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings, file e384c432-5d33-d4b2-e053-9f05fe0a1d67
|
3
|
|
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings, file e384c432-6e1c-d4b2-e053-9f05fe0a1d67
|
3
|
|
Guida alla valutazione dei ponti termici. Conforme alle norme UNI EN ISO 14683 e UNI EN ISO 10211., file 6c6543ff-d84e-4fb6-af94-bc1207c8a71d
|
2
|
|
Guida alla valutazione dei ponti termici. Conforme alle norme UNI EN ISO 14683 e UNI EN ISO 10211., file 96a71572-b6b8-4769-9ec7-98a494d57aa5
|
2
|
|
A review of data-driven fault detection and diagnostics for building HVAC systems, file bda687e9-53ae-40bd-9c6a-56848ec2b814
|
2
|
|
Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries, file e3739d81-056c-4e76-b299-16aef3aab8ca
|
2
|
|
A critical review on forward and data driven methods for building energy analysis, file e384c42e-09b0-d4b2-e053-9f05fe0a1d67
|
2
|
|
A building thermal bridges sensitivity analysis, file e384c42e-26e1-d4b2-e053-9f05fe0a1d67
|
2
|
|
Visualising high-resolution energy maps through the exploratory analysis of energy performance certificates, file e384c431-b91e-d4b2-e053-9f05fe0a1d67
|
2
|
|
Coordinated energy management for a cluster of buildings through deep reinforcement learning, file e384c433-b274-d4b2-e053-9f05fe0a1d67
|
2
|
|
Data-driven district energy management with surrogate models and deep reinforcement learning, file e384c434-1005-d4b2-e053-9f05fe0a1d67
|
2
|
|
Data-driven district energy management with surrogate models and deep reinforcement learning, file e384c434-2a13-d4b2-e053-9f05fe0a1d67
|
2
|
|
A holistic time series-based energy benchmarking framework for applications in large stocks of buildings, file 158b42fc-d9a0-48b0-814e-a31831a8c71e
|
1
|
|
Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries, file 32fe7b72-1c35-4207-b230-130f8b32531c
|
1
|
|
Experimental assessment of ground-truth faults in a typical single-duct dual-fan air-handling unit under Mediterranean climatic conditions: Impact scenarios of sensors? offset and fans? failure, file 5faab0d8-e4a9-4dff-ae79-8f6dcf8baa84
|
1
|
|
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems, file 6d60a4ca-5db2-4199-8699-70cca436e5b7
|
1
|
|
A review of data-driven fault detection and diagnostics for building HVAC systems, file 8caaddf4-ea65-4cd7-a9dd-b5d4546172ff
|
1
|
|
Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics, file b116add9-1e21-4d16-9677-32423b30632f
|
1
|
|
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset, file b25717fe-0e7d-4fa0-bed5-6538271aa796
|
1
|
|
Experimental assessment of ground-truth faults in a typical single-duct dual-fan air-handling unit under Mediterranean climatic conditions: Impact scenarios of sensors? offset and fans? failure, file c013f3dc-a410-4d49-a287-0d7d54690454
|
1
|
|
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings, file d20bdbff-a5cc-46c0-a703-13fba5cb4802
|
1
|
|
Faulty Operation of Coils' and Humidifier Valves in a Typical Air-Handling Unit: Experimental Impact Assessment of Indoor Comfort and Patterns of Operating Parameters under Mediterranean Climatic Conditions, file e1653340-489a-4d5f-a875-69a09604cf06
|
1
|
|
Il progetto e la verifica di un edificio a energia quasi zero: analisi critica delle prestazioni per un caso di studio, file e384c42e-1182-d4b2-e053-9f05fe0a1d67
|
1
|
|
Development and evaluation of a comfort-oriented control strategy for thermal management of mixed-mode ventilated buildings, file e384c431-2043-d4b2-e053-9f05fe0a1d67
|
1
|
|
Recognition and classification of typical load profiles in buildings with non-intrusive learning approach, file e384c431-4a7e-d4b2-e053-9f05fe0a1d67
|
1
|
|
Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules, file e384c432-54a0-d4b2-e053-9f05fe0a1d67
|
1
|
|
Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics, file ea155e75-74b3-40b0-bfa2-c5a32b41e2da
|
1
|
| Totale |
11.978 |
Archivio Istituzionale della Ricerca