# Smart heating systems in a climate-friendly way by utilizing artificial intelligence (ÄLLITÄ) - Savonia AMK

> The goal of Finland’s national energy and climate strategy until 2030 is to move the country towards climate neutrality.

## Project Overview
The goal of Finland’s national energy and climate strategy until 2030 is to move the country towards climate neutrality by significantly increasing the use of renewable energy. The goal is to increase the share of renewable energy to at least 51 percent of the total energy consumption and to reach 30 percent of the final energy consumption of road traffic. 

The Just Transition Fund, based in Pohjois Savo, plays a key role in this change by connecting provincial leaders with added value in key industries, focusing on issues such as digital innovation, skills development, and workforce development. This project is specifically aimed at companies in the energy sector and promotes the use of energy and environmental data to integrate digitization and artificial intelligence (AI) into their own operations and in line with the industry 4.0 paradigm to increase productivity and sustainability.

## Project Work Packages
The project has three main work packages:
1. **TP1:** Project management, networks, and communication.
2. **TP2:** Data and artificial intelligence in smart energy solutions.
3. **TP3:** Artificial intelligence as a replacement for routine tasks.

The main focus is to use IoT solutions and artificial intelligence to improve the energy efficiency and automation of buildings, while developing predictive models for the performance of local renewable energy such as solar energy. In addition, artificial intelligence is used to innovate business processes in the energy sector, and applications are expanding to other industries as well. Examples include using AI to streamline routine tasks such as structuring abstract writing ideas, creating new product concepts, and generating software code.

## Pilot Study: Electricity Efficiency
Data is the backbone in the field of AI and decision making. The first pilot regarding electricity efficiency is Savonia-ammattikorkeakoulu Oy, Varkaus. 

### Data Analysis
The project utilizes hourly electricity consumption (kWh) data from January 2023 – April 2024. Exploratory data analysis revealed specific consumption patterns:
* **Seasonal Trends:** Average electricity consumption is lower than 25 kWh from May-Aug, while it is between 25-30 kWh during Sep, Oct, Nov, Jan, Mar, and Apr. November and February are peak months (above 35 kWh), likely due to extreme winter conditions.
* **Weekly Trends:** Consumption is lower during Saturday and Sunday.
* **Daily Trends:** Consumption is high from 03:00 to 17:00, with a peak from 08:00 – 15:00, likely corresponding to the university's working hours.
* **Working vs. Non-working Days:** Consumption is lower during weekends and holidays compared to working days.

### Future Steps
The team is integrating weather-related features from the Finnish Meteorological Institute (FMI), HVAC data, and district heating data. The next steps involve:
* Extracting features from all datasets.
* Experimenting with data-driven AI models to predict future electricity consumption and solar power production.
* Utilizing the NVIDIA DGX A100 AI server for model training, testing, and deployment.

## AI for Routine Tasks (TP3)
The third work package focuses on efficiency in the workplace by using AI to complete menial tasks. By using AI to generate small code snippets or debug code, companies and employees can save time on repetitive tasks. 

Additional areas of interest include:
* Web Development and exploring limitations of code generation for user interfaces.
* Creation of presentations, product concepts, articles, and other written content.
* Utilizing open-source AI models hosted on the NVIDIA AI server.

## Authors
* **Shahbaz Baig**, RDI Specialist, DigiCenter, Savonia-ammattikorkeakoulu, shahbaz.baig@savonia.fi
* **Premton Canamusa**, RDI Specialist, DigiCenter, Savonia-ammattikorkeakoulu, premton.canamusa@savonia.fi
* **Mika Leskinen**, RDI Specialist, DigiCenter, Savonia-ammattikorkeakoulu, mika.leskinen@savonia.fi
* **Aki Happonen**, project coordinator, DigiCenter, Savonia-ammattikorkeakoulu, aki.happonen@savonia.fi