Rate My Professor Samuli Honkapuro

Honkapuro's research specializations include electricity market design and business models for the integration of distributed energy resources, demand side management, and energy communities. His academic interests extend to smart grid technologies, decarbonizing power systems, optimization of solar farms and wind farms in deregulated markets, large-scale variable electric loads, photovoltaic generation prediction, capacity remuneration mechanisms, pumped hydro and thermal energy storages in Nordic electricity markets, deep reinforcement learning for energy-efficient buildings, e-mobility, blockchain-based peer-to-peer energy markets, rural mini-grids, and flexibility in renewable energy systems. With 187 publications and 1,547 citations, key works include “Optimizing solar farm locations for revenue and reduced electricity costs in deregulated electricity markets” (2025), “Deep Reinforcement Learning-Based Real-Time Controller for Energy-Efficient Buildings” (2025), “Photovoltaic Generation Prediction using a Weather-Forecast-Aware Autoformer” (2025), “Is a Capacity Remuneration Mechanism Worth the Cost? A Case Study of Finland” (2025), “Effect of large-scale variable electric loads and operation strategy in decentralized electricity markets: Case of large electrolyzers” (2025), and “Roles of Technological Knowledge and Self-Efficacy in Influencing Consumer Adoption of Smart Grid Technologies: A Path Analysis” (2026). His contributions advance sustainable energy systems and electricity market innovations.