1. Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia
Innovative tool for Energy Demand forecasting
and management of the Electrical Load System on
Smart Grid Environment for Energy Efficiency
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Athanasios Grammatikopoulos Ioannis Panapakidis
Mechanical Engineer
MSc in Energy
ΑΜ: 107751
Electrical Engineer & Computer Engineer
PhD
ΑΜ: 109263
Member of Standing Committee of Energy
TEE/TKM
Member of Standing Committee of Energy
TEE/TKM
Mob: +306942011797 Mob: +306977060253
E-mail: nasos4gramms@gmail.com E-mail: ipanap@ee.auth.gr

2.  Global energy consumption projection increases by 53% between 2008 and 2035
 Electrical energy industry continuously converges towards a competitive
framework, replacing the traditional monopolistic landscape
 The liberalization of the electricity market brought the disaggregation of
production, transport and distribution of EE. It is the foundation for competitiveness
between power production companies and suppliers
 Smart Grid → Coordination of necessities and capabilities of producers, system
management operators and final consumers
 The coordination of the energy system aims at these optimal function, minimizing
the cost and environmental impact and maximizing flexibility, stability and reliability
Characteristics of modern environment of the Electricity market
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency

3. The Core of energy forecasting and management load tool
Load Forecasting
and management
Tool
STOP -
DAMAGE
LARGE
PRODUCTION
UNITS
EFFICIENT
PROGRAMMING
ELECTRICAL
ENERGY PRICES
SUPPLY AND
DEMAND
BALANCE
ENERGY
SERVICE
COMPANIES
(ESCOs)
FUEL PRICES–
OPERATIONAL
UNIT
MANAGEMENT
RISK
MANAGEMENT
DESIGN OF THE
MARKET -
IMPORT RES
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

4. -high potentiality for energy savings-
Energy performance of buildings
 The energy performance of buildings is a key focus area of the current
scientific and legislation framework of the European Union.
 According to technical reports, there is a considerably high potential for
energy savings in heating, cooling and lighting in public buildings.
 The Directive 2012/27/EU established a common framework of
measures for the promotion of energy efficiency within the EU.
 The EPBD provides a first step to access the energy performance of
buildings and propose effective measures.
 A proper demand pattern analysis is needed for:
 To identify the best practices related to energy efficiency.
 To establish benchmarking procedures for a variety of building types.
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

5. 1. Energy load forecasting through Artificial Intelligence
 Computational Tool with ANN (Artificial neural networks) in MatLAB
environment
 Accurate energy load forecasting bring benefits to efficient planning
integration of production units in the system, improve the safety of the
energy system and risk management of power companies.
 Accurate estimation of power energy load and energy prices are essential
objective for the mechanisms of decision-making in the light of the
growing needs of Electrical energy system operation
 Analysis levels: National System, Distribution MV, Final consumer
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
INNOVATIVE TOOL OF LOAD FORECASTING - "OPERATIONAL PILLARS "
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

6. 15
0
1000
2000
3000
4000
5000
6000
7000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Load(GW)
Hours
Peak Demand - High
generated cost of Kwh
Peak Demand - High
generated cost of Kwh
Low Demand- low
generated cost of kWh
Low Demand- low
generated cost of kWhLoad curve of the Greek system on
15/05/2012
2. Demand Response
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
INNOVATIVE TOOL OF LOAD FORECASTING - "OPERATIONAL PILLARS "
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

7.  Load Data collection and processing
 Definition of electricity market and energy mixture
 Design of dynamic pricing (tariffs ) in correspondence with load profiles
 Profitability = Sale - Purchase - Network Charges
INNOVATIVE TOOL OF ENERGY LOAD FORECASTING - "OPERATIONAL PILLARS "
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

8. INNOVATIVE TOOL OF ENERGY LOAD FORECASTING - “SMART GRID"
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

9.  Power energy companies (public and private)
 Electrical energy suppliers (Retailers)
 Energy Service Companies (ESCO's)
 Management of transmission and distribution network
 Decision makers of energy policy
Tool Features
 User-friendly, high-configurable, flexible
 Consume small amount of computational resources
 Easily integrated in Companies portfolio
Can be Used by...
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

10. -Ύπαρξη αγοράς-
 Crucial due to liberalization and deregulation of
energy markets
 N.3855 / 2010 → Greek legislation harmonized with
the Directive 2006/32 / EC “Energy efficiency in end-
users and energy services"
 EU Directive 2009/72/EC aims to set up joint
regulations for country members on the production,
transport and distribution of gas and electricity. The
goal is a competitive, secure and environmentally
sustainable electricity market
 Retail market development with the integration of
Smart Meters. The corresponding legislation refers to
Directives 2004/22 / EC and 2006/32 / EC
ENERGY MARKET
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

11.  Extroversion
 Versatile tool with compatible use and commercial applicability in Greece and abroad
 Territory Benefits
 Programming optimization of use of domestic fuels and renewable energy that can lead to
the reduction of polluting emissions, increase reliability and network security
 Dispersed Energy resources Management topically in cities and regions - A region can be
driven in Energy independence toward a Smart Grid
 Data Exploitation - Optimal sales tariff of electrical energy - Price Saving for Private
consumer
 Dynamic tariffs - Changing consumer behavior through cutting peak loads and load shift
during periods of low demand - Economic benefits for the producers and suppliers
WHAT ARE THE BENEFITS?
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

12.  Environmental Benefits
 Planning optimization for the use of domestic fuels and
renewable energy that can lead to emissions reduction ,
increase reliability and network security
 Assessment of energy efficiency measures
 Electrical load data analysis that provides information for
the emissions per Building and Activity. The data can be
used by national and EU bodies.
 Create a portfolio for emissions of public buildings in
order to analyze and reduce
WHAT ARE THE BENEFITS?
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

13. -Ύπαρξη αγοράς-INNOVATION AND CONTRIBUTION
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Efficient powerful tool, towards the acknowledgement of the impact of
values, such as Brent Oil Price, Heating Oil Price and the Power System
Load
A new Computer tool in order to perform energy demand load
forecasting depending on the requirements of the market
Can be used for day-to-day optimal decision on the economic and secure
operation of the power system offering an extra adaptability according to
the input information and targeted values
Electricity Production in the
interconnected system -
Hellenic Transmission System
Operator S.A., Greece
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia

14.  A computational tool that leads Energy Companies to profitability into the
Liberalized market
Reduce
Operating costs
Efficiency
Optimization
Forecasting
Energy Demand
Energy Demand forecasting and management of the Electrical Load System on Smart Grid Environment for Energy Efficiency
Entrepreneurial Conference, 27, 28 and May 31, 2013, Thessaloniki
Technical Chamber of Greece / Department of Central Macedonia