Giuseppe Pinto

About Giuseppe Pinto

Giuseppe Pinto, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Politecnico di Torino, specializes in the field of Energy, Data Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset

CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities

A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn

Ten questions concerning reinforcement learning for building energy management

Scaling energy management in buildings with artificial intelligence

Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures

Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives

Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics

Giuseppe Pinto Information

University

Position

___

Citations(all)

356

Citations(since 2020)

356

Cited By

5

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Giuseppe Pinto Skills & Research Interests

Energy

Data Analysis

Top articles of Giuseppe Pinto

Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset

Engineering Applications of Artificial Intelligence

2024/4/1

CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities

2023/11/15

A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn

2023/9/4

Ten questions concerning reinforcement learning for building energy management

Building and Environment

2023/8/1

Scaling energy management in buildings with artificial intelligence

2023/2/23

Giuseppe Pinto
Giuseppe Pinto

H-Index: 1

Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures

Applied Energy

2022/3/15

Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives

2022/2/1

Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics

Energy and Buildings

2022/12/1

Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset

2022/11/9

Han Li
Han Li

H-Index: 10

Giuseppe Pinto
Giuseppe Pinto

H-Index: 1

Data-driven district energy management with surrogate models and deep reinforcement learning

Applied Energy

2021/12/15

Giuseppe Pinto
Giuseppe Pinto

H-Index: 1

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 …

Energy

2021/12/1

Giuseppe Pinto
Giuseppe Pinto

H-Index: 1

Laura Savoldi
Laura Savoldi

H-Index: 17

Coordinated energy management for a cluster of buildings through deep reinforcement learning

Energy

2021/8/15

Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings

Energies

2021/5/19

Implementation of an adaptive control strategy to regulate heating systems in residential building

2020/12/4

Adaptive Control Strategies for enhancing energy efficiency and comfort in buildings

2020/10/22

The Impact of Stakeholder Preferences in Multicriteria Evaluation for the Retrofitting of Office Buildings in Italy

2020

See List of Professors in Giuseppe Pinto University(Politecnico di Torino)