Simone Paoletti

Quantifying Transient 3D Dynamical Phenomena of Single mRNA Particles in Live Yeast Cell Measurements

Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks

Assessment of energy storage technologies: A review

On-Line Building Energy Optimization Using Deep Reinforcement Learning

Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN

An MPC/hybrid system approach to traction control

Bayesian Nonparametric Inference of Switching Dynamic Linear Models

Review on deep learning applications in frequency analysis and control of modern power system

Towards underground hydrogen storage: A review of barriers

Predictive Active Steering Control for Autonomous Vehicle Systems

Learning from class-imbalanced data: Review of methods and applications

Neural Network-Based Model Design for Short-Term Load Forecast in Distribution Systems

Predicting residential energy consumption using CNN-LSTM neural networks

Ensemble aggregation methods for relocating models of rare events

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

Forecasting China's electricity consumption using a new grey prediction model

Improved Deep Belief Network for Short-Term Load Forecasting Considering Demand-Side Management

Data classification and parameter estimation for the identification of piecewise affine models

A DECISION SUPPORT SYSTEM FOR THE MANAGEMENT OF COASTAL LAGOONS

Load forecasting for active distribution networks

Models and Techniques for Electric Load Forecasting in the Presence of Demand Response

Sizing of energy storage systems considering uncertainty on demand and generation

Identification of Hybrid Systems A Tutorial