Mobile Apps Meet the Smart Energy Grid: A Survey on Consumer Engagement and Machine Learning Applications. - Spiros Chadoulos; Iordanis Koutsopoulos; George C. Polyzos (IEEE Access, 2020)

One model fits all: Individualized household energy demand forecasting with a single deep learning model. - Spiros Chadoulos; Iordanis Koutsopoulos; George C. Polyzos (e-Energy, 2021)

Learning the Optimal Energy Supply Plan with Online Convex Optimization. - Spiros Chadoulos; Iordanis Koutsopoulos (ICC, 2021)

Authentication, Authorization, and Selective Disclosure for IoT Data Sharing Using Verifiable Credentials and Zero-Knowledge Proofs. - Nikos Fotiou; Iakovos Pittaras; Spiros Chadoulos; Vasilios A. Siris; George C. Polyzos; Nikolaos Ipiotis; Stratos Keranidis (ETAA, 2022)

Access control for interoperable energy management systems using Verifiable Credentials. - Nikos Fotiou; Spiros Chadoulos; Iordanis Koutsopoulos; Vasilios A. Siris; George C. Polyzos (TrustCom, 2023)

EMS-env: A Reinforcement Learning Framework for Residential Energy Efficiency Recommendations. - Spiros Chadoulos; Odyssefs Diamantopoulos; Iordanis Koutsopoulos; George C. Polyzos; Nikolaos Ipiotis (SmartGridComm, 2024)

Reinforcement Learning with Partially Defined Rewards and Human Feedback for Energy Efficiency Recommendations. - Spiros Chadoulos; Iordanis Koutsopoulos; George C. Polyzos; Nikolaos Ipiotis (e-Energy, 2025)