Silvio Brandi

1.1k total citations
18 papers, 737 citations indexed

About

Silvio Brandi is a scholar working on Building and Construction, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Silvio Brandi has authored 18 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Building and Construction, 14 papers in Electrical and Electronic Engineering and 5 papers in Plant Science. Recurrent topics in Silvio Brandi's work include Building Energy and Comfort Optimization (16 papers), Smart Grid Energy Management (12 papers) and Greenhouse Technology and Climate Control (5 papers). Silvio Brandi is often cited by papers focused on Building Energy and Comfort Optimization (16 papers), Smart Grid Energy Management (12 papers) and Greenhouse Technology and Climate Control (5 papers). Silvio Brandi collaborates with scholars based in Italy, Switzerland and United States. Silvio Brandi's co-authors include Alfonso Capozzoli, Marco Savino Piscitelli, Gianfranco Chicco, Massimo Fiorentini, Tianzhen Hong, Fu Xiao, Arno Schlueter, Johannes Köhler, Melanie N. Zeilinger and Fabio Favoino and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Energy.

In The Last Decade

Silvio Brandi

18 papers receiving 710 citations

Peers

Countries citing papers authored by Silvio Brandi

Since Specialization

Citations

This map shows the geographic impact of Silvio Brandi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silvio Brandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvio Brandi more than expected).

Fields of papers citing papers by Silvio Brandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvio Brandi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silvio Brandi. The network helps show where Silvio Brandi may publish in the future.

Co-authorship network of co-authors of Silvio Brandi

This figure shows the co-authorship network connecting the top 25 collaborators of Silvio Brandi. A scholar is included among the top collaborators of Silvio Brandi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvio Brandi. Silvio Brandi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Scenario analysis for renewable energy communities through advanced co-simulation infrastructure 2025 ·Applied Energy ·Silvio Brandi, (unknown), (unknown), (unknown), Luca Barbierato, Lorenzo Bottaccioli, Edoardo Patti, Alfonso Capozzoli	2
2	Deep reinforcement learning-based control of thermal energy storage for university classrooms: Co-Simulation with TRNSYS-Python and transfer learning across operational scenarios 2025 ·Energy Reports ·(unknown), (unknown), (unknown), Francesco Liberato Cappiello, Silvio Brandi	2
3	Practical deployment of reinforcement learning for building controls using an imitation learning approach 2025 ·Energy and Buildings ·(unknown), (unknown), Silvio Brandi, Alfonso Capozzoli, Arno Schlueter	5
4	A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study 2025 ·Energy and Buildings ·(unknown), (unknown), (unknown), (unknown), Silvio Brandi, (unknown), Tianzhen Hong, Arno Schlueter, Alfonso Capozzoli	6
5	Rule extraction from deep reinforcement learning controller and comparative analysis with ASHRAE control sequences for the optimal management of Heating, Ventilation, and Air Conditioning (HVAC) systems in multizone buildings 2024 ·Applied Energy ·(unknown), Silvio Brandi, Marco Savino Piscitelli, Alfonso Capozzoli	6
6	Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control 2024 ·Applied Energy ·(unknown), (unknown), Silvio Brandi, Alfonso Capozzoli, (unknown), Johannes Köhler, (unknown), Melanie N. Zeilinger, Arno Schlueter	41
7	An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems 2024 ·Building Simulation ·(unknown), Silvio Brandi, Tianzhen Hong, Alfonso Capozzoli	15
8	Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings 2023 ·Applied Energy ·(unknown), Silvio Brandi, Tianzhen Hong, Alfonso Capozzoli	65
9	Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings 2023 ·Energy Conversion and Management ·(unknown), Silvio Brandi, Alfonso Capozzoli	36
10	A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings 2022 ·Energy Reports ·Silvio Brandi, (unknown), Alfonso Capozzoli	37
11	Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management 2022 ·Automation in Construction ·Silvio Brandi, Massimo Fiorentini, Alfonso Capozzoli	66
12	Online Implementation of a Soft Actor-Critic Agent to Enhance Indoor Temperature Control and Energy Efficiency in Buildings 2021 ·Energies ·(unknown), Silvio Brandi, Marco Savino Piscitelli, Alfonso Capozzoli	33
13	A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings 2020 ·Building Simulation ·Marco Savino Piscitelli, Silvio Brandi, Alfonso Capozzoli, Fu Xiao	49
14	Advanced Control Strategies For The Modulation Of Solar Radiation In Buildings: MPC-Enhanced Rule-Based Control 2020 ·Building Simulation Conference proceedings ·Marco Savino Piscitelli, Silvio Brandi, Giovanni Gennaro, Alfonso Capozzoli, Fabio Favoino, Valentina Serra	5
15	Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings 2020 ·Energy and Buildings ·Silvio Brandi, Marco Savino Piscitelli, (unknown), Alfonso Capozzoli	167
16	Recognition and classification of typical load profiles in buildings with non-intrusive learning approach 2019 ·Applied Energy ·Marco Savino Piscitelli, Silvio Brandi, Alfonso Capozzoli	51
17	Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings 2018 ·Energy ·Alfonso Capozzoli, Marco Savino Piscitelli, Silvio Brandi, (unknown), Gianfranco Chicco	108
18	Mining typical load profiles in buildings to support energy management in the smart city context 2017 ·Energy Procedia ·Alfonso Capozzoli, Marco Savino Piscitelli, Silvio Brandi	43

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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